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b/Clinical Deterioration Model - Exploratory Data Analysis.ipynb |
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"cells": [ |
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"cell_type": "markdown", |
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"metadata": {}, |
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"source": [ |
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"# Clinical Deterioration Model: Exploratory Data Analysis\n", |
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"\n", |
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"#### This notebook includes an EDA of final dataset prepared for a clinical deterioration model " |
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] |
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}, |
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"cell_type": "markdown", |
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"metadata": {}, |
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"source": [ |
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"## 1. Data Source \n", |
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"\n", |
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"For this project, I used publicly available Electronic Health Records (EHRs) datasets. The MIT Media Lab for Computational Physiology has developed MIMIC-IIIv1.4 dataset based on 46,520 patients who stayed in critical care units of the Beth Israel Deaconess Medical Center of Boston between 2001 and 2012. MIMIC-IIIv1.4 dataset is freely available to researchers across the world. A formal request should be made directly to www.mimic.physionet.org, to gain acess to the data. There is a required course on human research ‘Data or Specimens Only Research’ prior to data acess request. I have secured one here -www.citiprogram.org/verify/?kb6607b78-5821-4de5-8cad-daf929f7fbbf-33486907\n", |
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"\n", |
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"The dataset has 26 relational tables including patient’s hospital admission, callout information when patient was ready for discharge, caregiver information, electronic charted events including vital signs and any additional information relevant to patient care, patient demographic data, list of services the patient was admitted or transferred under, ICU stay types, diagnoses types, laboratory measurments, microbiology tests and sensitivity, prescription data and billing information. \n", |
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"\n", |
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"Although I have full access to the MIMIC-IIIv1.4 datasets, I can not share any part of the data publicly. If you are interested to learn more about the data, there is a MIMIC III Demo dataset based on 100 patients https://mimic.physionet.org/gettingstarted/demo/. If you are interested to requesting access to the data - https://mimic.physionet.org/gettingstarted/access/. \n" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 1, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"import os\n", |
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"import pandas as pd\n", |
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"import matplotlib.pyplot as plt\n", |
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"import matplotlib.ticker as ticker\n", |
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"from matplotlib.dates import DateFormatter\n", |
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"from datetime import datetime\n", |
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"import matplotlib.dates as mdates\n", |
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"import seaborn as sns\n", |
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"import numpy as np\n", |
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"import random\n", |
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"import sys\n", |
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"import csv\n", |
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"import re" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 2, |
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"metadata": {}, |
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"outputs": [ |
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{ |
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"data": { |
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"text/plain": [ |
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"'C:\\\\Users\\\\abebu\\\\Dropbox\\\\Data Science\\\\Projects\\\\Capstone Project 1\\\\Potential Projects\\\\9. MIMIC\\\\EDA\\\\Exploratory-Data-Analysis-Clinical-Deterioration'" |
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] |
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}, |
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"execution_count": 2, |
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"metadata": {}, |
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"output_type": "execute_result" |
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} |
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], |
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"source": [ |
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"os.getcwd()" |
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] |
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}, |
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"cell_type": "code", |
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"execution_count": 3, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"os.chdir(\"C://Users/abebu/Google Drive/mimic-iii-clinical-database-1.4\")" |
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] |
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}, |
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"cell_type": "code", |
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"execution_count": 32, |
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"metadata": {}, |
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"outputs": [ |
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{ |
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"name": "stdout", |
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"output_type": "stream", |
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"text": [ |
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"<class 'pandas.core.frame.DataFrame'>\n", |
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"Int64Index: 61117 entries, 0 to 61116\n", |
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"Data columns (total 33 columns):\n", |
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"SUBJECT_ID 61117 non-null int64\n", |
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"HADM_ID 61117 non-null int64\n", |
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"ICUSTAY_ID 61117 non-null int64\n", |
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"los 61117 non-null float64\n", |
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"hdeath 61117 non-null int64\n", |
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"death 61117 non-null int64\n", |
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"admission 61117 non-null int64\n", |
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"ud 61117 non-null float64\n", |
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"bun 61117 non-null float64\n", |
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"Bicarbonate 61117 non-null float64\n", |
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"ventilation 61117 non-null float64\n", |
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"Temp 61117 non-null float64\n", |
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"Bilirubin 61117 non-null float64\n", |
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"gcs 61117 non-null float64\n", |
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"AGE 61117 non-null float64\n", |
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"UO 61117 non-null float64\n", |
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"saps2 61117 non-null float64\n", |
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"Potassium_0.0 61117 non-null int64\n", |
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"Potassium_3.0 61117 non-null int64\n", |
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"Sodium_0.0 61117 non-null int64\n", |
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"Sodium_1.0 61117 non-null int64\n", |
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"Sodium_5.0 61117 non-null int64\n", |
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"WBC_0.0 61117 non-null int64\n", |
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"WBC_3.0 61117 non-null int64\n", |
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"hr_0.0 61117 non-null int64\n", |
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"hr_2.0 61117 non-null int64\n", |
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"hr_4.0 61117 non-null int64\n", |
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"hr_7.0 61117 non-null int64\n", |
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"hr_11.0 61117 non-null int64\n", |
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"bp_0.0 61117 non-null int64\n", |
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"bp_2.0 61117 non-null int64\n", |
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"bp_5.0 61117 non-null int64\n", |
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"bp_13.0 61117 non-null int64\n", |
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"dtypes: float64(11), int64(22)\n", |
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"memory usage: 15.9 MB\n" |
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] |
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} |
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], |
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"source": [ |
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"saps=pd.read_csv('saps_ts.csv', header=0, index_col=0)\n", |
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"saps.info()" |
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] |
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}, |
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"cell_type": "code", |
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"execution_count": 5, |
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"metadata": {}, |
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"outputs": [ |
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{ |
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"name": "stdout", |
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"output_type": "stream", |
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"text": [ |
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"<class 'pandas.core.frame.DataFrame'>\n", |
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"Int64Index: 58976 entries, 0 to 58975\n", |
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"Data columns (total 7 columns):\n", |
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"SUBJECT_ID 58976 non-null int64\n", |
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"GENDER 58976 non-null object\n", |
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"HADM_ID 58976 non-null int64\n", |
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"INSURANCE 58976 non-null object\n", |
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"RELIGION 58518 non-null object\n", |
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"MARITAL_STATUS 48848 non-null object\n", |
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"ETHNICITY 58976 non-null object\n", |
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"dtypes: int64(2), object(5)\n", |
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"memory usage: 3.6+ MB\n" |
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] |
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} |
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], |
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"source": [ |
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"demo=pd.read_csv('demography.csv', header=0, index_col=0)\n", |
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"demo.info()" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 33, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"def adm_merge(table1, table2):\n", |
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" return table1.merge(table2, how='inner', left_on=['SUBJECT_ID','HADM_ID'], right_on=['SUBJECT_ID','HADM_ID'])" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 34, |
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"metadata": {}, |
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"outputs": [ |
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" <tr style=\"text-align: right;\">\n", |
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" <th></th>\n", |
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" <th>SUBJECT_ID</th>\n", |
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" <th>HADM_ID</th>\n", |
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" <th>ICUSTAY_ID</th>\n", |
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" <th>los</th>\n", |
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" <th>hdeath</th>\n", |
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" <th>death</th>\n", |
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" <th>admission</th>\n", |
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" <th>ud</th>\n", |
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" <th>bun</th>\n", |
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" <th>Bicarbonate</th>\n", |
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" <th>...</th>\n", |
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" <th>hr_11.0</th>\n", |
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" <th>bp_0.0</th>\n", |
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" <th>bp_2.0</th>\n", |
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" <th>bp_5.0</th>\n", |
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" <th>bp_13.0</th>\n", |
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" <th>GENDER</th>\n", |
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" <th>INSURANCE</th>\n", |
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" <th>RELIGION</th>\n", |
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" <th>MARITAL_STATUS</th>\n", |
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" <th>ETHNICITY</th>\n", |
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" <td>3.2490</td>\n", |
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" <td>Medicare</td>\n", |
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239 |
" <td>CATHOLIC</td>\n", |
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" <td>SEPARATED</td>\n", |
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" <td>HISPANIC OR LATINO</td>\n", |
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" <td>1</td>\n", |
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245 |
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246 |
" <td>106296</td>\n", |
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247 |
" <td>206613</td>\n", |
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248 |
" <td>3.2788</td>\n", |
|
|
249 |
" <td>0</td>\n", |
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|
250 |
" <td>0</td>\n", |
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252 |
" <td>17.0</td>\n", |
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253 |
" <td>0.0</td>\n", |
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254 |
" <td>0.0</td>\n", |
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255 |
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257 |
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258 |
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" <td>0</td>\n", |
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261 |
" <td>M</td>\n", |
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262 |
" <td>Medicaid</td>\n", |
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" <td>UNOBTAINABLE</td>\n", |
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" <td>SINGLE</td>\n", |
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" <td>WHITE</td>\n", |
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" </tr>\n", |
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" <tr>\n", |
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" <td>2</td>\n", |
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269 |
" <td>270</td>\n", |
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|
270 |
" <td>188028</td>\n", |
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|
271 |
" <td>220345</td>\n", |
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272 |
" <td>2.8939</td>\n", |
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273 |
" <td>0</td>\n", |
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" <td>0</td>\n", |
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275 |
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285 |
" <td>M</td>\n", |
|
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286 |
" <td>Medicare</td>\n", |
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" <td>JEHOVAH'S WITNESS</td>\n", |
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" <td>MARRIED</td>\n", |
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" <td>UNKNOWN/NOT SPECIFIED</td>\n", |
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" </tr>\n", |
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" <tr>\n", |
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" <td>3</td>\n", |
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" <td>271</td>\n", |
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294 |
" <td>173727</td>\n", |
|
|
295 |
" <td>249196</td>\n", |
|
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296 |
" <td>2.0600</td>\n", |
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|
297 |
" <td>0</td>\n", |
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298 |
" <td>0</td>\n", |
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299 |
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300 |
" <td>0.0</td>\n", |
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301 |
" <td>0.0</td>\n", |
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302 |
" <td>0.0</td>\n", |
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303 |
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304 |
" <td>0</td>\n", |
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305 |
" <td>1</td>\n", |
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|
306 |
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|
307 |
" <td>0</td>\n", |
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|
308 |
" <td>0</td>\n", |
|
|
309 |
" <td>F</td>\n", |
|
|
310 |
" <td>Private</td>\n", |
|
|
311 |
" <td>NOT SPECIFIED</td>\n", |
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312 |
" <td>MARRIED</td>\n", |
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" <td>PATIENT DECLINED TO ANSWER</td>\n", |
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" </tr>\n", |
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" <tr>\n", |
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" <td>4</td>\n", |
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|
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" <td>272</td>\n", |
|
|
318 |
" <td>164716</td>\n", |
|
|
319 |
" <td>210407</td>\n", |
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|
320 |
" <td>1.6202</td>\n", |
|
|
321 |
" <td>0</td>\n", |
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|
322 |
" <td>0</td>\n", |
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323 |
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324 |
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|
325 |
" <td>0.0</td>\n", |
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326 |
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327 |
" <td>...</td>\n", |
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328 |
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329 |
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330 |
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332 |
" <td>0</td>\n", |
|
|
333 |
" <td>M</td>\n", |
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|
334 |
" <td>Medicare</td>\n", |
|
|
335 |
" <td>UNOBTAINABLE</td>\n", |
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" <td>MARRIED</td>\n", |
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337 |
" <td>WHITE</td>\n", |
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338 |
" </tr>\n", |
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339 |
" </tbody>\n", |
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"</table>\n", |
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"<p>5 rows × 38 columns</p>\n", |
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"</div>" |
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], |
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"text/plain": [ |
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" SUBJECT_ID HADM_ID ICUSTAY_ID los hdeath death admission ud \\\n", |
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"0 268 110404 280836 3.2490 1 1 8 0.0 \n", |
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|
347 |
"1 269 106296 206613 3.2788 0 0 8 17.0 \n", |
|
|
348 |
"2 270 188028 220345 2.8939 0 0 0 0.0 \n", |
|
|
349 |
"3 271 173727 249196 2.0600 0 0 8 0.0 \n", |
|
|
350 |
"4 272 164716 210407 1.6202 0 0 8 0.0 \n", |
|
|
351 |
"\n", |
|
|
352 |
" bun Bicarbonate ... hr_11.0 bp_0.0 bp_2.0 bp_5.0 bp_13.0 GENDER \\\n", |
|
|
353 |
"0 6.0 0.0 ... 1 0 0 0 1 F \n", |
|
|
354 |
"1 0.0 0.0 ... 0 0 0 1 0 M \n", |
|
|
355 |
"2 0.0 0.0 ... 1 0 0 0 1 M \n", |
|
|
356 |
"3 0.0 0.0 ... 0 1 0 0 0 F \n", |
|
|
357 |
"4 0.0 0.0 ... 0 0 0 1 0 M \n", |
|
|
358 |
"\n", |
|
|
359 |
" INSURANCE RELIGION MARITAL_STATUS ETHNICITY \n", |
|
|
360 |
"0 Medicare CATHOLIC SEPARATED HISPANIC OR LATINO \n", |
|
|
361 |
"1 Medicaid UNOBTAINABLE SINGLE WHITE \n", |
|
|
362 |
"2 Medicare JEHOVAH'S WITNESS MARRIED UNKNOWN/NOT SPECIFIED \n", |
|
|
363 |
"3 Private NOT SPECIFIED MARRIED PATIENT DECLINED TO ANSWER \n", |
|
|
364 |
"4 Medicare UNOBTAINABLE MARRIED WHITE \n", |
|
|
365 |
"\n", |
|
|
366 |
"[5 rows x 38 columns]" |
|
|
367 |
] |
|
|
368 |
}, |
|
|
369 |
"execution_count": 34, |
|
|
370 |
"metadata": {}, |
|
|
371 |
"output_type": "execute_result" |
|
|
372 |
} |
|
|
373 |
], |
|
|
374 |
"source": [ |
|
|
375 |
"saps=adm_merge(saps, demo)\n", |
|
|
376 |
"saps.head()" |
|
|
377 |
] |
|
|
378 |
}, |
|
|
379 |
{ |
|
|
380 |
"cell_type": "code", |
|
|
381 |
"execution_count": 81, |
|
|
382 |
"metadata": {}, |
|
|
383 |
"outputs": [], |
|
|
384 |
"source": [ |
|
|
385 |
"saps_d=pd.get_dummies(saps, columns=['GENDER', 'INSURANCE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY'])" |
|
|
386 |
] |
|
|
387 |
}, |
|
|
388 |
{ |
|
|
389 |
"cell_type": "code", |
|
|
390 |
"execution_count": 83, |
|
|
391 |
"metadata": {}, |
|
|
392 |
"outputs": [], |
|
|
393 |
"source": [ |
|
|
394 |
"saps_d=saps_d.drop(['SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID'], axis=1)" |
|
|
395 |
] |
|
|
396 |
}, |
|
|
397 |
{ |
|
|
398 |
"cell_type": "markdown", |
|
|
399 |
"metadata": {}, |
|
|
400 |
"source": [ |
|
|
401 |
"## 1. Describe the Data \n" |
|
|
402 |
] |
|
|
403 |
}, |
|
|
404 |
{ |
|
|
405 |
"cell_type": "code", |
|
|
406 |
"execution_count": 87, |
|
|
407 |
"metadata": {}, |
|
|
408 |
"outputs": [ |
|
|
409 |
{ |
|
|
410 |
"data": { |
|
|
411 |
"text/html": [ |
|
|
412 |
"<div>\n", |
|
|
413 |
"<style scoped>\n", |
|
|
414 |
" .dataframe tbody tr th:only-of-type {\n", |
|
|
415 |
" vertical-align: middle;\n", |
|
|
416 |
" }\n", |
|
|
417 |
"\n", |
|
|
418 |
" .dataframe tbody tr th {\n", |
|
|
419 |
" vertical-align: top;\n", |
|
|
420 |
" }\n", |
|
|
421 |
"\n", |
|
|
422 |
" .dataframe thead th {\n", |
|
|
423 |
" text-align: right;\n", |
|
|
424 |
" }\n", |
|
|
425 |
"</style>\n", |
|
|
426 |
"<table border=\"1\" class=\"dataframe\">\n", |
|
|
427 |
" <thead>\n", |
|
|
428 |
" <tr style=\"text-align: right;\">\n", |
|
|
429 |
" <th></th>\n", |
|
|
430 |
" <th>los</th>\n", |
|
|
431 |
" <th>hdeath</th>\n", |
|
|
432 |
" <th>death</th>\n", |
|
|
433 |
" <th>admission</th>\n", |
|
|
434 |
" <th>ud</th>\n", |
|
|
435 |
" <th>bun</th>\n", |
|
|
436 |
" <th>Bicarbonate</th>\n", |
|
|
437 |
" <th>ventilation</th>\n", |
|
|
438 |
" <th>Temp</th>\n", |
|
|
439 |
" <th>Bilirubin</th>\n", |
|
|
440 |
" <th>...</th>\n", |
|
|
441 |
" <th>MARITAL_STATUS_SEPARATED</th>\n", |
|
|
442 |
" <th>MARITAL_STATUS_SINGLE</th>\n", |
|
|
443 |
" <th>MARITAL_STATUS_UNKNOWN (DEFAULT)</th>\n", |
|
|
444 |
" <th>MARITAL_STATUS_WIDOWED</th>\n", |
|
|
445 |
" <th>ETHNICITY_ASIAN</th>\n", |
|
|
446 |
" <th>ETHNICITY_BLACK/AFRICAN AMERICAN</th>\n", |
|
|
447 |
" <th>ETHNICITY_HISPANIC/LATINO</th>\n", |
|
|
448 |
" <th>ETHNICITY_OTHERS</th>\n", |
|
|
449 |
" <th>ETHNICITY_UNKNOWN/NOT SPECIFIED</th>\n", |
|
|
450 |
" <th>ETHNICITY_WHITE</th>\n", |
|
|
451 |
" </tr>\n", |
|
|
452 |
" </thead>\n", |
|
|
453 |
" <tbody>\n", |
|
|
454 |
" <tr>\n", |
|
|
455 |
" <td>count</td>\n", |
|
|
456 |
" <td>61117.000000</td>\n", |
|
|
457 |
" <td>61117.000000</td>\n", |
|
|
458 |
" <td>61117.000000</td>\n", |
|
|
459 |
" <td>61117.000000</td>\n", |
|
|
460 |
" <td>61117.000000</td>\n", |
|
|
461 |
" <td>61117.000000</td>\n", |
|
|
462 |
" <td>61117.000000</td>\n", |
|
|
463 |
" <td>61117.000000</td>\n", |
|
|
464 |
" <td>61117.000000</td>\n", |
|
|
465 |
" <td>61117.000000</td>\n", |
|
|
466 |
" <td>...</td>\n", |
|
|
467 |
" <td>61117.000000</td>\n", |
|
|
468 |
" <td>61117.00000</td>\n", |
|
|
469 |
" <td>61117.000000</td>\n", |
|
|
470 |
" <td>61117.000000</td>\n", |
|
|
471 |
" <td>61117.000000</td>\n", |
|
|
472 |
" <td>61117.000000</td>\n", |
|
|
473 |
" <td>61117.000000</td>\n", |
|
|
474 |
" <td>61117.000000</td>\n", |
|
|
475 |
" <td>61117.000000</td>\n", |
|
|
476 |
" <td>61117.000000</td>\n", |
|
|
477 |
" </tr>\n", |
|
|
478 |
" <tr>\n", |
|
|
479 |
" <td>mean</td>\n", |
|
|
480 |
" <td>4.957131</td>\n", |
|
|
481 |
" <td>0.109249</td>\n", |
|
|
482 |
" <td>0.395307</td>\n", |
|
|
483 |
" <td>6.023987</td>\n", |
|
|
484 |
" <td>1.123681</td>\n", |
|
|
485 |
" <td>1.151071</td>\n", |
|
|
486 |
" <td>0.352881</td>\n", |
|
|
487 |
" <td>3.735262</td>\n", |
|
|
488 |
" <td>2.336060</td>\n", |
|
|
489 |
" <td>0.800187</td>\n", |
|
|
490 |
" <td>...</td>\n", |
|
|
491 |
" <td>0.009654</td>\n", |
|
|
492 |
" <td>0.22560</td>\n", |
|
|
493 |
" <td>0.005989</td>\n", |
|
|
494 |
" <td>0.122732</td>\n", |
|
|
495 |
" <td>0.032822</td>\n", |
|
|
496 |
" <td>0.098140</td>\n", |
|
|
497 |
" <td>0.035964</td>\n", |
|
|
498 |
" <td>0.051966</td>\n", |
|
|
499 |
" <td>0.077311</td>\n", |
|
|
500 |
" <td>0.703798</td>\n", |
|
|
501 |
" </tr>\n", |
|
|
502 |
" <tr>\n", |
|
|
503 |
" <td>std</td>\n", |
|
|
504 |
" <td>9.668438</td>\n", |
|
|
505 |
" <td>0.311955</td>\n", |
|
|
506 |
" <td>0.488921</td>\n", |
|
|
507 |
" <td>3.450170</td>\n", |
|
|
508 |
" <td>3.139658</td>\n", |
|
|
509 |
" <td>2.461039</td>\n", |
|
|
510 |
" <td>1.158467</td>\n", |
|
|
511 |
" <td>3.310800</td>\n", |
|
|
512 |
" <td>1.245403</td>\n", |
|
|
513 |
" <td>2.480805</td>\n", |
|
|
514 |
" <td>...</td>\n", |
|
|
515 |
" <td>0.097778</td>\n", |
|
|
516 |
" <td>0.41798</td>\n", |
|
|
517 |
" <td>0.077154</td>\n", |
|
|
518 |
" <td>0.328132</td>\n", |
|
|
519 |
" <td>0.178173</td>\n", |
|
|
520 |
" <td>0.297506</td>\n", |
|
|
521 |
" <td>0.186201</td>\n", |
|
|
522 |
" <td>0.221960</td>\n", |
|
|
523 |
" <td>0.267086</td>\n", |
|
|
524 |
" <td>0.456585</td>\n", |
|
|
525 |
" </tr>\n", |
|
|
526 |
" <tr>\n", |
|
|
527 |
" <td>min</td>\n", |
|
|
528 |
" <td>0.000300</td>\n", |
|
|
529 |
" <td>0.000000</td>\n", |
|
|
530 |
" <td>0.000000</td>\n", |
|
|
531 |
" <td>0.000000</td>\n", |
|
|
532 |
" <td>0.000000</td>\n", |
|
|
533 |
" <td>0.000000</td>\n", |
|
|
534 |
" <td>0.000000</td>\n", |
|
|
535 |
" <td>0.000000</td>\n", |
|
|
536 |
" <td>0.000000</td>\n", |
|
|
537 |
" <td>0.000000</td>\n", |
|
|
538 |
" <td>...</td>\n", |
|
|
539 |
" <td>0.000000</td>\n", |
|
|
540 |
" <td>0.00000</td>\n", |
|
|
541 |
" <td>0.000000</td>\n", |
|
|
542 |
" <td>0.000000</td>\n", |
|
|
543 |
" <td>0.000000</td>\n", |
|
|
544 |
" <td>0.000000</td>\n", |
|
|
545 |
" <td>0.000000</td>\n", |
|
|
546 |
" <td>0.000000</td>\n", |
|
|
547 |
" <td>0.000000</td>\n", |
|
|
548 |
" <td>0.000000</td>\n", |
|
|
549 |
" </tr>\n", |
|
|
550 |
" <tr>\n", |
|
|
551 |
" <td>25%</td>\n", |
|
|
552 |
" <td>1.120100</td>\n", |
|
|
553 |
" <td>0.000000</td>\n", |
|
|
554 |
" <td>0.000000</td>\n", |
|
|
555 |
" <td>8.000000</td>\n", |
|
|
556 |
" <td>0.000000</td>\n", |
|
|
557 |
" <td>0.000000</td>\n", |
|
|
558 |
" <td>0.000000</td>\n", |
|
|
559 |
" <td>0.000000</td>\n", |
|
|
560 |
" <td>3.000000</td>\n", |
|
|
561 |
" <td>0.000000</td>\n", |
|
|
562 |
" <td>...</td>\n", |
|
|
563 |
" <td>0.000000</td>\n", |
|
|
564 |
" <td>0.00000</td>\n", |
|
|
565 |
" <td>0.000000</td>\n", |
|
|
566 |
" <td>0.000000</td>\n", |
|
|
567 |
" <td>0.000000</td>\n", |
|
|
568 |
" <td>0.000000</td>\n", |
|
|
569 |
" <td>0.000000</td>\n", |
|
|
570 |
" <td>0.000000</td>\n", |
|
|
571 |
" <td>0.000000</td>\n", |
|
|
572 |
" <td>0.000000</td>\n", |
|
|
573 |
" </tr>\n", |
|
|
574 |
" <tr>\n", |
|
|
575 |
" <td>50%</td>\n", |
|
|
576 |
" <td>2.107000</td>\n", |
|
|
577 |
" <td>0.000000</td>\n", |
|
|
578 |
" <td>0.000000</td>\n", |
|
|
579 |
" <td>8.000000</td>\n", |
|
|
580 |
" <td>0.000000</td>\n", |
|
|
581 |
" <td>0.000000</td>\n", |
|
|
582 |
" <td>0.000000</td>\n", |
|
|
583 |
" <td>6.000000</td>\n", |
|
|
584 |
" <td>3.000000</td>\n", |
|
|
585 |
" <td>0.000000</td>\n", |
|
|
586 |
" <td>...</td>\n", |
|
|
587 |
" <td>0.000000</td>\n", |
|
|
588 |
" <td>0.00000</td>\n", |
|
|
589 |
" <td>0.000000</td>\n", |
|
|
590 |
" <td>0.000000</td>\n", |
|
|
591 |
" <td>0.000000</td>\n", |
|
|
592 |
" <td>0.000000</td>\n", |
|
|
593 |
" <td>0.000000</td>\n", |
|
|
594 |
" <td>0.000000</td>\n", |
|
|
595 |
" <td>0.000000</td>\n", |
|
|
596 |
" <td>1.000000</td>\n", |
|
|
597 |
" </tr>\n", |
|
|
598 |
" <tr>\n", |
|
|
599 |
" <td>75%</td>\n", |
|
|
600 |
" <td>4.540600</td>\n", |
|
|
601 |
" <td>0.000000</td>\n", |
|
|
602 |
" <td>1.000000</td>\n", |
|
|
603 |
" <td>8.000000</td>\n", |
|
|
604 |
" <td>0.000000</td>\n", |
|
|
605 |
" <td>0.000000</td>\n", |
|
|
606 |
" <td>0.000000</td>\n", |
|
|
607 |
" <td>6.000000</td>\n", |
|
|
608 |
" <td>3.000000</td>\n", |
|
|
609 |
" <td>0.000000</td>\n", |
|
|
610 |
" <td>...</td>\n", |
|
|
611 |
" <td>0.000000</td>\n", |
|
|
612 |
" <td>0.00000</td>\n", |
|
|
613 |
" <td>0.000000</td>\n", |
|
|
614 |
" <td>0.000000</td>\n", |
|
|
615 |
" <td>0.000000</td>\n", |
|
|
616 |
" <td>0.000000</td>\n", |
|
|
617 |
" <td>0.000000</td>\n", |
|
|
618 |
" <td>0.000000</td>\n", |
|
|
619 |
" <td>0.000000</td>\n", |
|
|
620 |
" <td>1.000000</td>\n", |
|
|
621 |
" </tr>\n", |
|
|
622 |
" <tr>\n", |
|
|
623 |
" <td>max</td>\n", |
|
|
624 |
" <td>173.072500</td>\n", |
|
|
625 |
" <td>1.000000</td>\n", |
|
|
626 |
" <td>1.000000</td>\n", |
|
|
627 |
" <td>8.000000</td>\n", |
|
|
628 |
" <td>17.000000</td>\n", |
|
|
629 |
" <td>10.000000</td>\n", |
|
|
630 |
" <td>6.000000</td>\n", |
|
|
631 |
" <td>11.000000</td>\n", |
|
|
632 |
" <td>3.000000</td>\n", |
|
|
633 |
" <td>9.000000</td>\n", |
|
|
634 |
" <td>...</td>\n", |
|
|
635 |
" <td>1.000000</td>\n", |
|
|
636 |
" <td>1.00000</td>\n", |
|
|
637 |
" <td>1.000000</td>\n", |
|
|
638 |
" <td>1.000000</td>\n", |
|
|
639 |
" <td>1.000000</td>\n", |
|
|
640 |
" <td>1.000000</td>\n", |
|
|
641 |
" <td>1.000000</td>\n", |
|
|
642 |
" <td>1.000000</td>\n", |
|
|
643 |
" <td>1.000000</td>\n", |
|
|
644 |
" <td>1.000000</td>\n", |
|
|
645 |
" </tr>\n", |
|
|
646 |
" </tbody>\n", |
|
|
647 |
"</table>\n", |
|
|
648 |
"<p>8 rows × 70 columns</p>\n", |
|
|
649 |
"</div>" |
|
|
650 |
], |
|
|
651 |
"text/plain": [ |
|
|
652 |
" los hdeath death admission ud \\\n", |
|
|
653 |
"count 61117.000000 61117.000000 61117.000000 61117.000000 61117.000000 \n", |
|
|
654 |
"mean 4.957131 0.109249 0.395307 6.023987 1.123681 \n", |
|
|
655 |
"std 9.668438 0.311955 0.488921 3.450170 3.139658 \n", |
|
|
656 |
"min 0.000300 0.000000 0.000000 0.000000 0.000000 \n", |
|
|
657 |
"25% 1.120100 0.000000 0.000000 8.000000 0.000000 \n", |
|
|
658 |
"50% 2.107000 0.000000 0.000000 8.000000 0.000000 \n", |
|
|
659 |
"75% 4.540600 0.000000 1.000000 8.000000 0.000000 \n", |
|
|
660 |
"max 173.072500 1.000000 1.000000 8.000000 17.000000 \n", |
|
|
661 |
"\n", |
|
|
662 |
" bun Bicarbonate ventilation Temp Bilirubin \\\n", |
|
|
663 |
"count 61117.000000 61117.000000 61117.000000 61117.000000 61117.000000 \n", |
|
|
664 |
"mean 1.151071 0.352881 3.735262 2.336060 0.800187 \n", |
|
|
665 |
"std 2.461039 1.158467 3.310800 1.245403 2.480805 \n", |
|
|
666 |
"min 0.000000 0.000000 0.000000 0.000000 0.000000 \n", |
|
|
667 |
"25% 0.000000 0.000000 0.000000 3.000000 0.000000 \n", |
|
|
668 |
"50% 0.000000 0.000000 6.000000 3.000000 0.000000 \n", |
|
|
669 |
"75% 0.000000 0.000000 6.000000 3.000000 0.000000 \n", |
|
|
670 |
"max 10.000000 6.000000 11.000000 3.000000 9.000000 \n", |
|
|
671 |
"\n", |
|
|
672 |
" ... MARITAL_STATUS_SEPARATED MARITAL_STATUS_SINGLE \\\n", |
|
|
673 |
"count ... 61117.000000 61117.00000 \n", |
|
|
674 |
"mean ... 0.009654 0.22560 \n", |
|
|
675 |
"std ... 0.097778 0.41798 \n", |
|
|
676 |
"min ... 0.000000 0.00000 \n", |
|
|
677 |
"25% ... 0.000000 0.00000 \n", |
|
|
678 |
"50% ... 0.000000 0.00000 \n", |
|
|
679 |
"75% ... 0.000000 0.00000 \n", |
|
|
680 |
"max ... 1.000000 1.00000 \n", |
|
|
681 |
"\n", |
|
|
682 |
" MARITAL_STATUS_UNKNOWN (DEFAULT) MARITAL_STATUS_WIDOWED \\\n", |
|
|
683 |
"count 61117.000000 61117.000000 \n", |
|
|
684 |
"mean 0.005989 0.122732 \n", |
|
|
685 |
"std 0.077154 0.328132 \n", |
|
|
686 |
"min 0.000000 0.000000 \n", |
|
|
687 |
"25% 0.000000 0.000000 \n", |
|
|
688 |
"50% 0.000000 0.000000 \n", |
|
|
689 |
"75% 0.000000 0.000000 \n", |
|
|
690 |
"max 1.000000 1.000000 \n", |
|
|
691 |
"\n", |
|
|
692 |
" ETHNICITY_ASIAN ETHNICITY_BLACK/AFRICAN AMERICAN \\\n", |
|
|
693 |
"count 61117.000000 61117.000000 \n", |
|
|
694 |
"mean 0.032822 0.098140 \n", |
|
|
695 |
"std 0.178173 0.297506 \n", |
|
|
696 |
"min 0.000000 0.000000 \n", |
|
|
697 |
"25% 0.000000 0.000000 \n", |
|
|
698 |
"50% 0.000000 0.000000 \n", |
|
|
699 |
"75% 0.000000 0.000000 \n", |
|
|
700 |
"max 1.000000 1.000000 \n", |
|
|
701 |
"\n", |
|
|
702 |
" ETHNICITY_HISPANIC/LATINO ETHNICITY_OTHERS \\\n", |
|
|
703 |
"count 61117.000000 61117.000000 \n", |
|
|
704 |
"mean 0.035964 0.051966 \n", |
|
|
705 |
"std 0.186201 0.221960 \n", |
|
|
706 |
"min 0.000000 0.000000 \n", |
|
|
707 |
"25% 0.000000 0.000000 \n", |
|
|
708 |
"50% 0.000000 0.000000 \n", |
|
|
709 |
"75% 0.000000 0.000000 \n", |
|
|
710 |
"max 1.000000 1.000000 \n", |
|
|
711 |
"\n", |
|
|
712 |
" ETHNICITY_UNKNOWN/NOT SPECIFIED ETHNICITY_WHITE \n", |
|
|
713 |
"count 61117.000000 61117.000000 \n", |
|
|
714 |
"mean 0.077311 0.703798 \n", |
|
|
715 |
"std 0.267086 0.456585 \n", |
|
|
716 |
"min 0.000000 0.000000 \n", |
|
|
717 |
"25% 0.000000 0.000000 \n", |
|
|
718 |
"50% 0.000000 1.000000 \n", |
|
|
719 |
"75% 0.000000 1.000000 \n", |
|
|
720 |
"max 1.000000 1.000000 \n", |
|
|
721 |
"\n", |
|
|
722 |
"[8 rows x 70 columns]" |
|
|
723 |
] |
|
|
724 |
}, |
|
|
725 |
"execution_count": 87, |
|
|
726 |
"metadata": {}, |
|
|
727 |
"output_type": "execute_result" |
|
|
728 |
} |
|
|
729 |
], |
|
|
730 |
"source": [ |
|
|
731 |
"desc_stat=saps_d.describe()\n", |
|
|
732 |
"desc_stat" |
|
|
733 |
] |
|
|
734 |
}, |
|
|
735 |
{ |
|
|
736 |
"cell_type": "code", |
|
|
737 |
"execution_count": 88, |
|
|
738 |
"metadata": {}, |
|
|
739 |
"outputs": [], |
|
|
740 |
"source": [ |
|
|
741 |
"desc_stat.to_csv('desc_stat.csv')" |
|
|
742 |
] |
|
|
743 |
}, |
|
|
744 |
{ |
|
|
745 |
"cell_type": "code", |
|
|
746 |
"execution_count": 18, |
|
|
747 |
"metadata": {}, |
|
|
748 |
"outputs": [ |
|
|
749 |
{ |
|
|
750 |
"data": { |
|
|
751 |
"text/plain": [ |
|
|
752 |
"46234" |
|
|
753 |
] |
|
|
754 |
}, |
|
|
755 |
"execution_count": 18, |
|
|
756 |
"metadata": {}, |
|
|
757 |
"output_type": "execute_result" |
|
|
758 |
} |
|
|
759 |
], |
|
|
760 |
"source": [ |
|
|
761 |
"# Number of patients (unieque)\n", |
|
|
762 |
"saps['SUBJECT_ID'].nunique()" |
|
|
763 |
] |
|
|
764 |
}, |
|
|
765 |
{ |
|
|
766 |
"cell_type": "code", |
|
|
767 |
"execution_count": 85, |
|
|
768 |
"metadata": {}, |
|
|
769 |
"outputs": [ |
|
|
770 |
{ |
|
|
771 |
"data": { |
|
|
772 |
"text/plain": [ |
|
|
773 |
"60517" |
|
|
774 |
] |
|
|
775 |
}, |
|
|
776 |
"execution_count": 85, |
|
|
777 |
"metadata": {}, |
|
|
778 |
"output_type": "execute_result" |
|
|
779 |
} |
|
|
780 |
], |
|
|
781 |
"source": [ |
|
|
782 |
"saps['ICUSTAY_ID'].nunique()" |
|
|
783 |
] |
|
|
784 |
}, |
|
|
785 |
{ |
|
|
786 |
"cell_type": "code", |
|
|
787 |
"execution_count": 89, |
|
|
788 |
"metadata": {}, |
|
|
789 |
"outputs": [ |
|
|
790 |
{ |
|
|
791 |
"data": { |
|
|
792 |
"text/plain": [ |
|
|
793 |
"8 75.299835\n", |
|
|
794 |
"0 24.700165\n", |
|
|
795 |
"Name: admission, dtype: float64" |
|
|
796 |
] |
|
|
797 |
}, |
|
|
798 |
"execution_count": 89, |
|
|
799 |
"metadata": {}, |
|
|
800 |
"output_type": "execute_result" |
|
|
801 |
} |
|
|
802 |
], |
|
|
803 |
"source": [ |
|
|
804 |
"saps['admission'].value_counts(normalize=True) * 100" |
|
|
805 |
] |
|
|
806 |
}, |
|
|
807 |
{ |
|
|
808 |
"cell_type": "code", |
|
|
809 |
"execution_count": 90, |
|
|
810 |
"metadata": {}, |
|
|
811 |
"outputs": [ |
|
|
812 |
{ |
|
|
813 |
"data": { |
|
|
814 |
"text/plain": [ |
|
|
815 |
"0.0 88.283129\n", |
|
|
816 |
"9.0 8.740612\n", |
|
|
817 |
"10.0 2.413404\n", |
|
|
818 |
"17.0 0.562855\n", |
|
|
819 |
"Name: ud, dtype: float64" |
|
|
820 |
] |
|
|
821 |
}, |
|
|
822 |
"execution_count": 90, |
|
|
823 |
"metadata": {}, |
|
|
824 |
"output_type": "execute_result" |
|
|
825 |
} |
|
|
826 |
], |
|
|
827 |
"source": [ |
|
|
828 |
"saps['ud'].value_counts(normalize=True) * 100" |
|
|
829 |
] |
|
|
830 |
}, |
|
|
831 |
{ |
|
|
832 |
"cell_type": "code", |
|
|
833 |
"execution_count": 91, |
|
|
834 |
"metadata": {}, |
|
|
835 |
"outputs": [ |
|
|
836 |
{ |
|
|
837 |
"data": { |
|
|
838 |
"text/plain": [ |
|
|
839 |
"0.0 81.607409\n", |
|
|
840 |
"6.0 17.204706\n", |
|
|
841 |
"10.0 1.187886\n", |
|
|
842 |
"Name: bun, dtype: float64" |
|
|
843 |
] |
|
|
844 |
}, |
|
|
845 |
"execution_count": 91, |
|
|
846 |
"metadata": {}, |
|
|
847 |
"output_type": "execute_result" |
|
|
848 |
} |
|
|
849 |
], |
|
|
850 |
"source": [ |
|
|
851 |
"saps['bun'].value_counts(normalize=True) * 100" |
|
|
852 |
] |
|
|
853 |
}, |
|
|
854 |
{ |
|
|
855 |
"cell_type": "code", |
|
|
856 |
"execution_count": 92, |
|
|
857 |
"metadata": {}, |
|
|
858 |
"outputs": [ |
|
|
859 |
{ |
|
|
860 |
"data": { |
|
|
861 |
"text/plain": [ |
|
|
862 |
"0.0 90.503461\n", |
|
|
863 |
"3.0 7.230394\n", |
|
|
864 |
"6.0 2.266145\n", |
|
|
865 |
"Name: Bicarbonate, dtype: float64" |
|
|
866 |
] |
|
|
867 |
}, |
|
|
868 |
"execution_count": 92, |
|
|
869 |
"metadata": {}, |
|
|
870 |
"output_type": "execute_result" |
|
|
871 |
} |
|
|
872 |
], |
|
|
873 |
"source": [ |
|
|
874 |
"saps['Bicarbonate'].value_counts(normalize=True) * 100" |
|
|
875 |
] |
|
|
876 |
}, |
|
|
877 |
{ |
|
|
878 |
"cell_type": "code", |
|
|
879 |
"execution_count": 93, |
|
|
880 |
"metadata": {}, |
|
|
881 |
"outputs": [ |
|
|
882 |
{ |
|
|
883 |
"data": { |
|
|
884 |
"text/plain": [ |
|
|
885 |
"6.0 51.493038\n", |
|
|
886 |
"0.0 41.903235\n", |
|
|
887 |
"9.0 4.036520\n", |
|
|
888 |
"11.0 2.567207\n", |
|
|
889 |
"Name: ventilation, dtype: float64" |
|
|
890 |
] |
|
|
891 |
}, |
|
|
892 |
"execution_count": 93, |
|
|
893 |
"metadata": {}, |
|
|
894 |
"output_type": "execute_result" |
|
|
895 |
} |
|
|
896 |
], |
|
|
897 |
"source": [ |
|
|
898 |
"saps['ventilation'].value_counts(normalize=True) * 100" |
|
|
899 |
] |
|
|
900 |
}, |
|
|
901 |
{ |
|
|
902 |
"cell_type": "code", |
|
|
903 |
"execution_count": 94, |
|
|
904 |
"metadata": {}, |
|
|
905 |
"outputs": [ |
|
|
906 |
{ |
|
|
907 |
"data": { |
|
|
908 |
"text/plain": [ |
|
|
909 |
"3.0 77.868678\n", |
|
|
910 |
"0.0 22.131322\n", |
|
|
911 |
"Name: Temp, dtype: float64" |
|
|
912 |
] |
|
|
913 |
}, |
|
|
914 |
"execution_count": 94, |
|
|
915 |
"metadata": {}, |
|
|
916 |
"output_type": "execute_result" |
|
|
917 |
} |
|
|
918 |
], |
|
|
919 |
"source": [ |
|
|
920 |
"saps['Temp'].value_counts(normalize=True) * 100" |
|
|
921 |
] |
|
|
922 |
}, |
|
|
923 |
{ |
|
|
924 |
"cell_type": "code", |
|
|
925 |
"execution_count": 96, |
|
|
926 |
"metadata": {}, |
|
|
927 |
"outputs": [ |
|
|
928 |
{ |
|
|
929 |
"data": { |
|
|
930 |
"text/plain": [ |
|
|
931 |
"0.0 89.978238\n", |
|
|
932 |
"9.0 7.986321\n", |
|
|
933 |
"4.0 2.035440\n", |
|
|
934 |
"Name: Bilirubin, dtype: float64" |
|
|
935 |
] |
|
|
936 |
}, |
|
|
937 |
"execution_count": 96, |
|
|
938 |
"metadata": {}, |
|
|
939 |
"output_type": "execute_result" |
|
|
940 |
} |
|
|
941 |
], |
|
|
942 |
"source": [ |
|
|
943 |
"saps['Bilirubin'].value_counts(normalize=True) * 100" |
|
|
944 |
] |
|
|
945 |
}, |
|
|
946 |
{ |
|
|
947 |
"cell_type": "code", |
|
|
948 |
"execution_count": 95, |
|
|
949 |
"metadata": {}, |
|
|
950 |
"outputs": [ |
|
|
951 |
{ |
|
|
952 |
"data": { |
|
|
953 |
"text/plain": [ |
|
|
954 |
"0.0 48.133907\n", |
|
|
955 |
"26.0 26.377276\n", |
|
|
956 |
"5.0 18.975081\n", |
|
|
957 |
"7.0 6.513736\n", |
|
|
958 |
"Name: gcs, dtype: float64" |
|
|
959 |
] |
|
|
960 |
}, |
|
|
961 |
"execution_count": 95, |
|
|
962 |
"metadata": {}, |
|
|
963 |
"output_type": "execute_result" |
|
|
964 |
} |
|
|
965 |
], |
|
|
966 |
"source": [ |
|
|
967 |
"saps['gcs'].value_counts(normalize=True) * 100" |
|
|
968 |
] |
|
|
969 |
}, |
|
|
970 |
{ |
|
|
971 |
"cell_type": "code", |
|
|
972 |
"execution_count": 182, |
|
|
973 |
"metadata": {}, |
|
|
974 |
"outputs": [ |
|
|
975 |
{ |
|
|
976 |
"data": { |
|
|
977 |
"text/plain": [ |
|
|
978 |
"0 94.052391\n", |
|
|
979 |
"1 5.947609\n", |
|
|
980 |
"Name: hr_11.0, dtype: float64" |
|
|
981 |
] |
|
|
982 |
}, |
|
|
983 |
"execution_count": 182, |
|
|
984 |
"metadata": {}, |
|
|
985 |
"output_type": "execute_result" |
|
|
986 |
} |
|
|
987 |
], |
|
|
988 |
"source": [ |
|
|
989 |
"saps['hr_11.0'].value_counts(normalize=True) * 100" |
|
|
990 |
] |
|
|
991 |
}, |
|
|
992 |
{ |
|
|
993 |
"cell_type": "code", |
|
|
994 |
"execution_count": 97, |
|
|
995 |
"metadata": {}, |
|
|
996 |
"outputs": [ |
|
|
997 |
{ |
|
|
998 |
"data": { |
|
|
999 |
"text/plain": [ |
|
|
1000 |
"0.0 100.0\n", |
|
|
1001 |
"Name: UO, dtype: float64" |
|
|
1002 |
] |
|
|
1003 |
}, |
|
|
1004 |
"execution_count": 97, |
|
|
1005 |
"metadata": {}, |
|
|
1006 |
"output_type": "execute_result" |
|
|
1007 |
} |
|
|
1008 |
], |
|
|
1009 |
"source": [ |
|
|
1010 |
"saps['UO'].value_counts(normalize=True) * 100" |
|
|
1011 |
] |
|
|
1012 |
}, |
|
|
1013 |
{ |
|
|
1014 |
"cell_type": "code", |
|
|
1015 |
"execution_count": 123, |
|
|
1016 |
"metadata": {}, |
|
|
1017 |
"outputs": [ |
|
|
1018 |
{ |
|
|
1019 |
"data": { |
|
|
1020 |
"text/html": [ |
|
|
1021 |
"<div>\n", |
|
|
1022 |
"<style scoped>\n", |
|
|
1023 |
" .dataframe tbody tr th:only-of-type {\n", |
|
|
1024 |
" vertical-align: middle;\n", |
|
|
1025 |
" }\n", |
|
|
1026 |
"\n", |
|
|
1027 |
" .dataframe tbody tr th {\n", |
|
|
1028 |
" vertical-align: top;\n", |
|
|
1029 |
" }\n", |
|
|
1030 |
"\n", |
|
|
1031 |
" .dataframe thead th {\n", |
|
|
1032 |
" text-align: right;\n", |
|
|
1033 |
" }\n", |
|
|
1034 |
"</style>\n", |
|
|
1035 |
"<table border=\"1\" class=\"dataframe\">\n", |
|
|
1036 |
" <thead>\n", |
|
|
1037 |
" <tr style=\"text-align: right;\">\n", |
|
|
1038 |
" <th></th>\n", |
|
|
1039 |
" <th>SUBJECT_ID</th>\n", |
|
|
1040 |
" <th>HADM_ID</th>\n", |
|
|
1041 |
" <th>ICUSTAY_ID</th>\n", |
|
|
1042 |
" <th>VALUE</th>\n", |
|
|
1043 |
" </tr>\n", |
|
|
1044 |
" </thead>\n", |
|
|
1045 |
" <tbody>\n", |
|
|
1046 |
" <tr>\n", |
|
|
1047 |
" <td>0</td>\n", |
|
|
1048 |
" <td>3</td>\n", |
|
|
1049 |
" <td>145834.0</td>\n", |
|
|
1050 |
" <td>211552.0</td>\n", |
|
|
1051 |
" <td>602.0</td>\n", |
|
|
1052 |
" </tr>\n", |
|
|
1053 |
" <tr>\n", |
|
|
1054 |
" <td>1</td>\n", |
|
|
1055 |
" <td>3</td>\n", |
|
|
1056 |
" <td>145834.0</td>\n", |
|
|
1057 |
" <td>211552.0</td>\n", |
|
|
1058 |
" <td>1385.0</td>\n", |
|
|
1059 |
" </tr>\n", |
|
|
1060 |
" <tr>\n", |
|
|
1061 |
" <td>2</td>\n", |
|
|
1062 |
" <td>3</td>\n", |
|
|
1063 |
" <td>145834.0</td>\n", |
|
|
1064 |
" <td>211552.0</td>\n", |
|
|
1065 |
" <td>3670.0</td>\n", |
|
|
1066 |
" </tr>\n", |
|
|
1067 |
" <tr>\n", |
|
|
1068 |
" <td>3</td>\n", |
|
|
1069 |
" <td>3</td>\n", |
|
|
1070 |
" <td>145834.0</td>\n", |
|
|
1071 |
" <td>211552.0</td>\n", |
|
|
1072 |
" <td>4915.0</td>\n", |
|
|
1073 |
" </tr>\n", |
|
|
1074 |
" <tr>\n", |
|
|
1075 |
" <td>4</td>\n", |
|
|
1076 |
" <td>3</td>\n", |
|
|
1077 |
" <td>145834.0</td>\n", |
|
|
1078 |
" <td>211552.0</td>\n", |
|
|
1079 |
" <td>2900.0</td>\n", |
|
|
1080 |
" </tr>\n", |
|
|
1081 |
" <tr>\n", |
|
|
1082 |
" <td>...</td>\n", |
|
|
1083 |
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1084 |
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|
1085 |
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|
1086 |
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|
1087 |
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|
1088 |
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|
|
1089 |
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|
1090 |
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|
|
1091 |
" <td>137810.0</td>\n", |
|
|
1092 |
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|
|
1093 |
" <td>335.0</td>\n", |
|
|
1094 |
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|
1095 |
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|
|
1096 |
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|
|
1097 |
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|
|
1098 |
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|
|
1099 |
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|
|
1100 |
" <td>1890.0</td>\n", |
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|
1101 |
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|
1102 |
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|
|
1103 |
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|
|
1104 |
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|
|
1105 |
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|
|
1106 |
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|
|
1107 |
" <td>570.0</td>\n", |
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|
1108 |
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|
1109 |
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|
1110 |
" <td>271498</td>\n", |
|
|
1111 |
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|
|
1112 |
" <td>113369.0</td>\n", |
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|
1113 |
" <td>246512.0</td>\n", |
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|
1114 |
" <td>2320.0</td>\n", |
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|
1115 |
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|
1116 |
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|
|
1117 |
" <td>271499</td>\n", |
|
|
1118 |
" <td>99999</td>\n", |
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|
1119 |
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|
1120 |
" <td>246512.0</td>\n", |
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|
1121 |
" <td>2430.0</td>\n", |
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|
1122 |
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1123 |
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1131 |
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1132 |
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1133 |
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1135 |
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1136 |
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1137 |
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1139 |
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1140 |
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1141 |
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"fields = ['SUBJECT_ID', 'HADM_ID','ICUSTAY_ID', 'VALUE']\n", |
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1152 |
"uo=pd.read_csv('urine_output.csv', usecols=fields)\n", |
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1153 |
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1154 |
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1161 |
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1163 |
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1164 |
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1170 |
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1171 |
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1172 |
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1173 |
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1174 |
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1200 |
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1201 |
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1202 |
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1203 |
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1206 |
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1208 |
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1209 |
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1210 |
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1211 |
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1212 |
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1213 |
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1214 |
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1215 |
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1216 |
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1217 |
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1218 |
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1219 |
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1220 |
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1221 |
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1222 |
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1223 |
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1224 |
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1225 |
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1226 |
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1227 |
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1228 |
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1230 |
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1231 |
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1232 |
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1233 |
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1234 |
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1235 |
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1236 |
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1237 |
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1238 |
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1239 |
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1240 |
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1242 |
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1247 |
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1248 |
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1249 |
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|
1250 |
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|
1251 |
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1252 |
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1253 |
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1254 |
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1257 |
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1258 |
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1259 |
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1260 |
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1261 |
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1263 |
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1264 |
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|
1265 |
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|
1266 |
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|
1267 |
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|
1268 |
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|
1269 |
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1271 |
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1272 |
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1273 |
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|
1274 |
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|
1275 |
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1276 |
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1277 |
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1278 |
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|
1279 |
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1280 |
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1281 |
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1282 |
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1292 |
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1365 |
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1366 |
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1367 |
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1368 |
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1369 |
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1370 |
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1373 |
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1375 |
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1376 |
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1377 |
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1378 |
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1379 |
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1380 |
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1381 |
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1387 |
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1388 |
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1389 |
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1390 |
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|
1391 |
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|
1392 |
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1393 |
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1394 |
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1395 |
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1398 |
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1399 |
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1400 |
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1401 |
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1402 |
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1405 |
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1406 |
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1407 |
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1408 |
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1409 |
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1410 |
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1411 |
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1412 |
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1413 |
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1414 |
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1415 |
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|
1416 |
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1417 |
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1418 |
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1419 |
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1420 |
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1421 |
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1422 |
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1423 |
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|
|
1431 |
" SUBJECT_ID HADM_ID ICUSTAY_ID UO\n", |
|
|
1432 |
"0 3 145834.0 211552.0 4.0\n", |
|
|
1433 |
"1 4 185777.0 294638.0 0.0\n", |
|
|
1434 |
"2 6 107064.0 228232.0 11.0\n", |
|
|
1435 |
"3 8 159514.0 262299.0 11.0\n", |
|
|
1436 |
"4 9 150750.0 220597.0 0.0\n", |
|
|
1437 |
"... ... ... ... ...\n", |
|
|
1438 |
"53749 99985 176670.0 279638.0 4.0\n", |
|
|
1439 |
"53750 99991 151118.0 226241.0 4.0\n", |
|
|
1440 |
"53751 99992 197084.0 242052.0 4.0\n", |
|
|
1441 |
"53752 99995 137810.0 229633.0 11.0\n", |
|
|
1442 |
"53753 99999 113369.0 246512.0 0.0\n", |
|
|
1443 |
"\n", |
|
|
1444 |
"[53754 rows x 4 columns]" |
|
|
1445 |
] |
|
|
1446 |
}, |
|
|
1447 |
"execution_count": 127, |
|
|
1448 |
"metadata": {}, |
|
|
1449 |
"output_type": "execute_result" |
|
|
1450 |
} |
|
|
1451 |
], |
|
|
1452 |
"source": [ |
|
|
1453 |
"uo.loc[uo['UO'] <500, 'UO'] = 11\n", |
|
|
1454 |
"uo.loc[uo['UO'].between(500, 999), 'UO'] = 4\n", |
|
|
1455 |
"uo.loc[uo['UO']>999, 'UO'] = 0\n", |
|
|
1456 |
"uo" |
|
|
1457 |
] |
|
|
1458 |
}, |
|
|
1459 |
{ |
|
|
1460 |
"cell_type": "code", |
|
|
1461 |
"execution_count": 130, |
|
|
1462 |
"metadata": {}, |
|
|
1463 |
"outputs": [], |
|
|
1464 |
"source": [ |
|
|
1465 |
"saps=saps.drop(['UO'], axis=1)" |
|
|
1466 |
] |
|
|
1467 |
}, |
|
|
1468 |
{ |
|
|
1469 |
"cell_type": "code", |
|
|
1470 |
"execution_count": 134, |
|
|
1471 |
"metadata": {}, |
|
|
1472 |
"outputs": [], |
|
|
1473 |
"source": [ |
|
|
1474 |
"def sai_merge(table1, table2):\n", |
|
|
1475 |
" return table1.merge(table2, how='left', left_on=['SUBJECT_ID','HADM_ID', 'ICUSTAY_ID'], right_on=['SUBJECT_ID','HADM_ID', 'ICUSTAY_ID'])" |
|
|
1476 |
] |
|
|
1477 |
}, |
|
|
1478 |
{ |
|
|
1479 |
"cell_type": "code", |
|
|
1480 |
"execution_count": 136, |
|
|
1481 |
"metadata": {}, |
|
|
1482 |
"outputs": [], |
|
|
1483 |
"source": [ |
|
|
1484 |
"saps=sai_merge(saps, uo)" |
|
|
1485 |
] |
|
|
1486 |
}, |
|
|
1487 |
{ |
|
|
1488 |
"cell_type": "code", |
|
|
1489 |
"execution_count": 137, |
|
|
1490 |
"metadata": {}, |
|
|
1491 |
"outputs": [], |
|
|
1492 |
"source": [ |
|
|
1493 |
"saps.to_csv('saps_ts.csv')" |
|
|
1494 |
] |
|
|
1495 |
}, |
|
|
1496 |
{ |
|
|
1497 |
"cell_type": "code", |
|
|
1498 |
"execution_count": 128, |
|
|
1499 |
"metadata": {}, |
|
|
1500 |
"outputs": [ |
|
|
1501 |
{ |
|
|
1502 |
"data": { |
|
|
1503 |
"text/plain": [ |
|
|
1504 |
"11.0 45.894259\n", |
|
|
1505 |
"4.0 29.348514\n", |
|
|
1506 |
"0.0 24.757227\n", |
|
|
1507 |
"Name: UO, dtype: float64" |
|
|
1508 |
] |
|
|
1509 |
}, |
|
|
1510 |
"execution_count": 128, |
|
|
1511 |
"metadata": {}, |
|
|
1512 |
"output_type": "execute_result" |
|
|
1513 |
} |
|
|
1514 |
], |
|
|
1515 |
"source": [ |
|
|
1516 |
"uo['UO'].value_counts(normalize=True) * 100" |
|
|
1517 |
] |
|
|
1518 |
}, |
|
|
1519 |
{ |
|
|
1520 |
"cell_type": "markdown", |
|
|
1521 |
"metadata": {}, |
|
|
1522 |
"source": [ |
|
|
1523 |
"\n", |
|
|
1524 |
"### Race Categories\n", |
|
|
1525 |
"`American Indian or Alaska Native:`\n", |
|
|
1526 |
"A person having origins in any of the original peoples of North and South America (including Central America), and who maintains tribal affiliation or community attachment.\n", |
|
|
1527 |
"\n", |
|
|
1528 |
"`Asian:`\n", |
|
|
1529 |
"A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian subcontinent including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam.\n", |
|
|
1530 |
"\n", |
|
|
1531 |
"`Black or African American:`\n", |
|
|
1532 |
"A person having origins in any of the black racial groups of Africa. Terms such as \"Haitian\" ... can be used in addition to \"Black or African American\".\n", |
|
|
1533 |
"\n", |
|
|
1534 |
"`Native Hawaiian or Other Pacific Islander:`\n", |
|
|
1535 |
"A person having origins in any of the original peoples of Hawaii, Guam, Samoa, or other Pacific Islands.\n", |
|
|
1536 |
"\n", |
|
|
1537 |
"`White:`\n", |
|
|
1538 |
"A person having origins in any of the original peoples of Europe, the Middle East, or North Africa.\n", |
|
|
1539 |
"\n", |
|
|
1540 |
"`Hispanic or Latino:`\n", |
|
|
1541 |
"A person of Cuban, Mexican, Puerto Rican, South or Central American, or other Spanish culture or origin, regardless of race. The term, \"Spanish origin\", can be used in addition to \"Hispanic or Latino\".\n", |
|
|
1542 |
"\n", |
|
|
1543 |
"https://www.iowadatacenter.org/aboutdata/raceclassification" |
|
|
1544 |
] |
|
|
1545 |
}, |
|
|
1546 |
{ |
|
|
1547 |
"cell_type": "code", |
|
|
1548 |
"execution_count": 47, |
|
|
1549 |
"metadata": {}, |
|
|
1550 |
"outputs": [], |
|
|
1551 |
"source": [ |
|
|
1552 |
"race_map = {'BLACK/AFRICAN AMERICAN' :2, \n", |
|
|
1553 |
" 'UNKNOWN/NOT SPECIFIED': 0,\n", |
|
|
1554 |
" 'HISPANIC OR LATINO' : 3,\n", |
|
|
1555 |
" 'BLACK/HAITIAN': 2,\n", |
|
|
1556 |
" 'BLACK/CAPE VERDEAN': 2,\n", |
|
|
1557 |
" 'WHITE - OTHER EUROPEAN': 4,\n", |
|
|
1558 |
" 'MULTI RACE ETHNICITY': 5, \n", |
|
|
1559 |
" 'WHITE - RUSSIAN': 4, \n", |
|
|
1560 |
" 'ASIAN - CHINESE': 1,\n", |
|
|
1561 |
" 'ASIAN - ASIAN INDIAN': 1,\n", |
|
|
1562 |
" 'AMERICAN INDIAN/ALASKA NATIVE': 5,\n", |
|
|
1563 |
" 'HISPANIC/LATINO - CENTRAL AMERICAN (OTHER)': 3,\n", |
|
|
1564 |
" 'BLACK/AFRICAN': 2,\n", |
|
|
1565 |
" 'PORTUGUESE': 4, \n", |
|
|
1566 |
" 'NATIVE HAWAIIAN OR OTHER PACIFIC ISLANDER': 5,\n", |
|
|
1567 |
" 'ASIAN - OTHER': 1,\n", |
|
|
1568 |
" 'ASIAN - VIETNAMESE': 1, \n", |
|
|
1569 |
" 'MIDDLE EASTERN': 4,\n", |
|
|
1570 |
" 'HISPANIC/LATINO - PUERTO RICAN': 3, \n", |
|
|
1571 |
" 'ASIAN - KOREAN': 1,\n", |
|
|
1572 |
" 'HISPANIC/LATINO - SALVADORAN': 3, \n", |
|
|
1573 |
" 'HISPANIC/LATINO - DOMINICAN': 3,\n", |
|
|
1574 |
" 'WHITE - BRAZILIAN': 4, \n", |
|
|
1575 |
" 'HISPANIC/LATINO - GUATEMALAN': 3,\n", |
|
|
1576 |
" 'ASIAN - FILIPINO': 1, \n", |
|
|
1577 |
" 'SOUTH AMERICAN': 3, \n", |
|
|
1578 |
" 'WHITE - EASTERN EUROPEAN': 4,\n", |
|
|
1579 |
" 'HISPANIC/LATINO - CUBAN': 3, \n", |
|
|
1580 |
" 'CARIBBEAN ISLAND': 3, \n", |
|
|
1581 |
" 'ASIAN - CAMBODIAN': 1,\n", |
|
|
1582 |
" 'OTHER': 5 }\n", |
|
|
1583 |
"\n", |
|
|
1584 |
"\n", |
|
|
1585 |
"saps.loc[:, \"ETHNICITY\"].replace(race_map, inplace=True)" |
|
|
1586 |
] |
|
|
1587 |
}, |
|
|
1588 |
{ |
|
|
1589 |
"cell_type": "code", |
|
|
1590 |
"execution_count": 75, |
|
|
1591 |
"metadata": {}, |
|
|
1592 |
"outputs": [], |
|
|
1593 |
"source": [ |
|
|
1594 |
"# Further transformation required, remap ethnicity. \n", |
|
|
1595 |
"r_map = {2: 'BLACK/AFRICAN AMERICAN',\n", |
|
|
1596 |
" 'WHITE': 'WHITE',\n", |
|
|
1597 |
" 0: 'UNKNOWN/NOT SPECIFIED',\n", |
|
|
1598 |
" 3: 'HISPANIC/LATINO', \n", |
|
|
1599 |
" 'ASIAN': 'ASIAN',\n", |
|
|
1600 |
" 'PATIENT DECLINED TO ANSWER': 'OTHERS', \n", |
|
|
1601 |
" 5: 'OTHERS',\n", |
|
|
1602 |
" 'UNABLE TO OBTAIN': 'OTHERS', \n", |
|
|
1603 |
" 4: 'WHITE', \n", |
|
|
1604 |
" 1: 'ASIAN',\n", |
|
|
1605 |
" 'HISPANIC/LATINO - MEXICAN':'HISPANIC/LATINO',\n", |
|
|
1606 |
" 'HISPANIC/LATINO - COLOMBIAN': 'HISPANIC/LATINO',\n", |
|
|
1607 |
" 'ASIAN - JAPANESE': 'ASIAN',\n", |
|
|
1608 |
" 'HISPANIC/LATINO - HONDURAN': 'HISPANIC/LATINO',\n", |
|
|
1609 |
" 'ASIAN - THAI': 'ASIAN',\n", |
|
|
1610 |
" 'AMERICAN INDIAN/ALASKA NATIVE FEDERALLY RECOGNIZED TRIBE': 'OTHERS'}\n", |
|
|
1611 |
"\n", |
|
|
1612 |
"\n", |
|
|
1613 |
"saps.loc[:, \"ETHNICITY\"].replace(r_map, inplace=True)" |
|
|
1614 |
] |
|
|
1615 |
}, |
|
|
1616 |
{ |
|
|
1617 |
"cell_type": "code", |
|
|
1618 |
"execution_count": 177, |
|
|
1619 |
"metadata": {}, |
|
|
1620 |
"outputs": [ |
|
|
1621 |
{ |
|
|
1622 |
"data": { |
|
|
1623 |
"text/plain": [ |
|
|
1624 |
"<matplotlib.axes._subplots.AxesSubplot at 0x13b4cac3848>" |
|
|
1625 |
] |
|
|
1626 |
}, |
|
|
1627 |
"execution_count": 177, |
|
|
1628 |
"metadata": {}, |
|
|
1629 |
"output_type": "execute_result" |
|
|
1630 |
}, |
|
|
1631 |
{ |
|
|
1632 |
"data": { |
|
|
1633 |
"image/png": 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\n", |
|
|
1634 |
"text/plain": [ |
|
|
1635 |
"<Figure size 720x432 with 1 Axes>" |
|
|
1636 |
] |
|
|
1637 |
}, |
|
|
1638 |
"metadata": {}, |
|
|
1639 |
"output_type": "display_data" |
|
|
1640 |
} |
|
|
1641 |
], |
|
|
1642 |
"source": [ |
|
|
1643 |
"#visualize again to check if everyting looks good. \n", |
|
|
1644 |
"plt.figure(figsize = (10, 6))\n", |
|
|
1645 |
"saps['ETHNICITY'].value_counts().plot(kind='bar', color='orange')" |
|
|
1646 |
] |
|
|
1647 |
}, |
|
|
1648 |
{ |
|
|
1649 |
"cell_type": "code", |
|
|
1650 |
"execution_count": 129, |
|
|
1651 |
"metadata": {}, |
|
|
1652 |
"outputs": [ |
|
|
1653 |
{ |
|
|
1654 |
"data": { |
|
|
1655 |
"application/vnd.plotly.v1+json": { |
|
|
1656 |
"config": { |
|
|
1657 |
"plotlyServerURL": "https://plot.ly" |
|
|
1658 |
}, |
|
|
1659 |
"data": [ |
|
|
1660 |
{ |
|
|
1661 |
"marker": { |
|
|
1662 |
"color": "rgba(201, 10, 20, 1)", |
|
|
1663 |
"line": { |
|
|
1664 |
"color": "rgba(246, 78, 139, 1.0)", |
|
|
1665 |
"width": 1 |
|
|
1666 |
} |
|
|
1667 |
}, |
|
|
1668 |
"name": "Outside Normal Range", |
|
|
1669 |
"orientation": "h", |
|
|
1670 |
"type": "bar", |
|
|
1671 |
"x": [ |
|
|
1672 |
82.5, |
|
|
1673 |
78, |
|
|
1674 |
75, |
|
|
1675 |
59, |
|
|
1676 |
56.4, |
|
|
1677 |
52, |
|
|
1678 |
22, |
|
|
1679 |
19, |
|
|
1680 |
10, |
|
|
1681 |
9.5, |
|
|
1682 |
4, |
|
|
1683 |
4, |
|
|
1684 |
2.5 |
|
|
1685 |
], |
|
|
1686 |
"y": [ |
|
|
1687 |
"Systolic Blood Pressure", |
|
|
1688 |
"Temprature", |
|
|
1689 |
"Urine Output Level", |
|
|
1690 |
"On Mechanical VentilationHeart Rate", |
|
|
1691 |
"Glasgow Coma Score", |
|
|
1692 |
"Underlying Chronic Deases", |
|
|
1693 |
"Blood Urea Nitrogen Level", |
|
|
1694 |
"Blood Bilirubin Level", |
|
|
1695 |
"Blood Bicarbonate Level", |
|
|
1696 |
"Blood Sodium Level", |
|
|
1697 |
"White Blood Cell Counts", |
|
|
1698 |
"Blood Potassium Level" |
|
|
1699 |
] |
|
|
1700 |
}, |
|
|
1701 |
{ |
|
|
1702 |
"marker": { |
|
|
1703 |
"color": "rgba(0, 140, 255, 1)", |
|
|
1704 |
"line": { |
|
|
1705 |
"color": "rgba(246, 78, 139, 1.0)", |
|
|
1706 |
"width": 1 |
|
|
1707 |
} |
|
|
1708 |
}, |
|
|
1709 |
"name": "Normal Range", |
|
|
1710 |
"orientation": "h", |
|
|
1711 |
"type": "bar", |
|
|
1712 |
"x": [ |
|
|
1713 |
17.5, |
|
|
1714 |
22, |
|
|
1715 |
25, |
|
|
1716 |
41, |
|
|
1717 |
43.6, |
|
|
1718 |
48, |
|
|
1719 |
78, |
|
|
1720 |
81, |
|
|
1721 |
90, |
|
|
1722 |
90.5, |
|
|
1723 |
96, |
|
|
1724 |
96, |
|
|
1725 |
97.5 |
|
|
1726 |
], |
|
|
1727 |
"y": [ |
|
|
1728 |
"Systolic Blood Pressure", |
|
|
1729 |
"Temprature", |
|
|
1730 |
"Urine Output Level", |
|
|
1731 |
"On Mechanical VentilationHeart Rate", |
|
|
1732 |
"Glasgow Coma Score", |
|
|
1733 |
"Underlying Chronic Deases", |
|
|
1734 |
"Blood Urea Nitrogen Level", |
|
|
1735 |
"Blood Bilirubin Level", |
|
|
1736 |
"Blood Bicarbonate Level", |
|
|
1737 |
"Blood Sodium Level", |
|
|
1738 |
"White Blood Cell Counts", |
|
|
1739 |
"Blood Potassium Level" |
|
|
1740 |
] |
|
|
1741 |
} |
|
|
1742 |
], |
|
|
1743 |
"layout": { |
|
|
1744 |
"barmode": "stack", |
|
|
1745 |
"template": { |
|
|
1746 |
"data": { |
|
|
1747 |
"bar": [ |
|
|
1748 |
{ |
|
|
1749 |
"error_x": { |
|
|
1750 |
"color": "#2a3f5f" |
|
|
1751 |
}, |
|
|
1752 |
"error_y": { |
|
|
1753 |
"color": "#2a3f5f" |
|
|
1754 |
}, |
|
|
1755 |
"marker": { |
|
|
1756 |
"line": { |
|
|
1757 |
"color": "#E5ECF6", |
|
|
1758 |
"width": 0.5 |
|
|
1759 |
} |
|
|
1760 |
}, |
|
|
1761 |
"type": "bar" |
|
|
1762 |
} |
|
|
1763 |
], |
|
|
1764 |
"barpolar": [ |
|
|
1765 |
{ |
|
|
1766 |
"marker": { |
|
|
1767 |
"line": { |
|
|
1768 |
"color": "#E5ECF6", |
|
|
1769 |
"width": 0.5 |
|
|
1770 |
} |
|
|
1771 |
}, |
|
|
1772 |
"type": "barpolar" |
|
|
1773 |
} |
|
|
1774 |
], |
|
|
1775 |
"carpet": [ |
|
|
1776 |
{ |
|
|
1777 |
"aaxis": { |
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\"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"ICU Patients Physiological Levels\"}},\n", |
|
|
2569 |
" {\"responsive\": true}\n", |
|
|
2570 |
" ).then(function(){\n", |
|
|
2571 |
" \n", |
|
|
2572 |
"var gd = document.getElementById('1f546b10-3f5e-4530-81d6-b3a9742fe51f');\n", |
|
|
2573 |
"var x = new MutationObserver(function (mutations, observer) {{\n", |
|
|
2574 |
" var display = window.getComputedStyle(gd).display;\n", |
|
|
2575 |
" if (!display || display === 'none') {{\n", |
|
|
2576 |
" console.log([gd, 'removed!']);\n", |
|
|
2577 |
" Plotly.purge(gd);\n", |
|
|
2578 |
" observer.disconnect();\n", |
|
|
2579 |
" }}\n", |
|
|
2580 |
"}});\n", |
|
|
2581 |
"\n", |
|
|
2582 |
"// Listen for the removal of the full notebook cells\n", |
|
|
2583 |
"var notebookContainer = gd.closest('#notebook-container');\n", |
|
|
2584 |
"if (notebookContainer) {{\n", |
|
|
2585 |
" x.observe(notebookContainer, {childList: true});\n", |
|
|
2586 |
"}}\n", |
|
|
2587 |
"\n", |
|
|
2588 |
"// Listen for the clearing of the current output cell\n", |
|
|
2589 |
"var outputEl = gd.closest('.output');\n", |
|
|
2590 |
"if (outputEl) {{\n", |
|
|
2591 |
" x.observe(outputEl, {childList: true});\n", |
|
|
2592 |
"}}\n", |
|
|
2593 |
"\n", |
|
|
2594 |
" })\n", |
|
|
2595 |
" };\n", |
|
|
2596 |
" });\n", |
|
|
2597 |
" </script>\n", |
|
|
2598 |
" </div>" |
|
|
2599 |
] |
|
|
2600 |
}, |
|
|
2601 |
"metadata": {}, |
|
|
2602 |
"output_type": "display_data" |
|
|
2603 |
} |
|
|
2604 |
], |
|
|
2605 |
"source": [ |
|
|
2606 |
"import plotly.graph_objects as go\n", |
|
|
2607 |
"fig = go.Figure()\n", |
|
|
2608 |
"fig.add_trace(go.Bar(\n", |
|
|
2609 |
" y = [ 'Systolic Blood Pressure',\n", |
|
|
2610 |
" 'Temprature',\n", |
|
|
2611 |
" 'Urine Output Level',\n", |
|
|
2612 |
" 'On Mechanical Ventilation'\n", |
|
|
2613 |
" 'Heart Rate',\n", |
|
|
2614 |
" 'Glasgow Coma Score',\n", |
|
|
2615 |
" 'Underlying Chronic Deases',\n", |
|
|
2616 |
" 'Blood Urea Nitrogen Level',\n", |
|
|
2617 |
" 'Blood Bilirubin Level',\n", |
|
|
2618 |
" 'Blood Bicarbonate Level',\n", |
|
|
2619 |
" 'Blood Sodium Level',\n", |
|
|
2620 |
" 'White Blood Cell Counts', \n", |
|
|
2621 |
" 'Blood Potassium Level'], \n", |
|
|
2622 |
" x = [82.5,78,75,59,56.4,52,22,19,10,9.5,4,4, 2.5],\n", |
|
|
2623 |
" name = 'Outside Normal Range',\n", |
|
|
2624 |
" orientation = 'h',\n", |
|
|
2625 |
" marker = dict(\n", |
|
|
2626 |
" color='rgba(201, 10, 20, 1)',\n", |
|
|
2627 |
" line=dict(color='rgba(246, 78, 139, 1.0)', width=1)\n", |
|
|
2628 |
" )\n", |
|
|
2629 |
"))\n", |
|
|
2630 |
"fig.add_trace(go.Bar(\n", |
|
|
2631 |
" y = [ 'Systolic Blood Pressure',\n", |
|
|
2632 |
" 'Temprature',\n", |
|
|
2633 |
" 'Urine Output Level',\n", |
|
|
2634 |
" 'On Mechanical Ventilation'\n", |
|
|
2635 |
" 'Heart Rate',\n", |
|
|
2636 |
" 'Glasgow Coma Score',\n", |
|
|
2637 |
" 'Underlying Chronic Deases',\n", |
|
|
2638 |
" 'Blood Urea Nitrogen Level',\n", |
|
|
2639 |
" 'Blood Bilirubin Level',\n", |
|
|
2640 |
" 'Blood Bicarbonate Level',\n", |
|
|
2641 |
" 'Blood Sodium Level',\n", |
|
|
2642 |
" 'White Blood Cell Counts', \n", |
|
|
2643 |
" 'Blood Potassium Level'], \n", |
|
|
2644 |
" x = [17.5,22,25,41,43.6,48,78,81,90,90.5,96,96, 97.5], \n", |
|
|
2645 |
"\n", |
|
|
2646 |
" name = 'Normal Range',\n", |
|
|
2647 |
" orientation = 'h',\n", |
|
|
2648 |
" marker = dict(\n", |
|
|
2649 |
" color='rgba(0, 140, 255, 1)',\n", |
|
|
2650 |
" line=dict(color='rgba(246, 78, 139, 1.0)', width=1)\n", |
|
|
2651 |
" )\n", |
|
|
2652 |
"))\n", |
|
|
2653 |
" \n", |
|
|
2654 |
"fig.update_layout(barmode='stack', title='ICU Patients Physiological Levels')\n", |
|
|
2655 |
"fig.show() \n" |
|
|
2656 |
] |
|
|
2657 |
}, |
|
|
2658 |
{ |
|
|
2659 |
"cell_type": "markdown", |
|
|
2660 |
"metadata": {}, |
|
|
2661 |
"source": [ |
|
|
2662 |
"## Results 1: \n", |
|
|
2663 |
"### Descriptive Statistics\n", |
|
|
2664 |
"\n", |
|
|
2665 |
"+ A total of 46,234 unique ICU patients were included in this study. Around 286 were lost during data cleaning. The original MIMIC-IIIv1.4 database has a total population of 46,520 patients.\n", |
|
|
2666 |
"+ There are 60,517 unique Intensive Care Unit(ICU) stays, some patients were addmitted to ICU more than once. The entire MIMIC-IIIv1.4 datasets has 61,532 ICU stays. Only one ICU stay per hospital amission were included in the study, as a result 1,015 ICU stays from the original database were excluded. Sometiems patients admitted to ICU were discharged to other wards in the hospital and in some cases return back to ICU such patients were not included in this study. \n", |
|
|
2667 |
"+ 56% of the patients were Male and 44% were female. \n", |
|
|
2668 |
"+ Study participants average age was 65 years old. Patients who are older than 89 years old at any time in the database have had their date of birth shifted to obscure their age and comply with HIPAA. The shift process was as follows:the patient’s age at their first admission was determined. The date of birth was then set to exactly 300 years before their first admission. \n", |
|
|
2669 |
"+ The majority of patients (75%) were adults (above 18 years old) and 25% were children (18 and below). \n", |
|
|
2670 |
"+ The majority of patients (70%) were whites, African Americans (10%), Asians (3%), and Hispanic/Lations were (4%). \n", |
|
|
2671 |
"+ The majority of patients (42%) were married and 35% reported to Catholic as their religion.\n", |
|
|
2672 |
"+ The majority of patients (75%) were admited to ICU unschedulled. \n", |
|
|
2673 |
"+ Almost half of the patients have Medicare (49%). This is not surpirse as the average patient age was 65. A total of 38% of the ICU patients were covered by private insurance. 10% of the ICU patients were used medicaid insurance and 1% of patients self-paid. \n", |
|
|
2674 |
"+ On average, patients stayed at ICU for 5 days. \n", |
|
|
2675 |
"+ 10% of ICU patients deceassed during thier ICU stay. \n", |
|
|
2676 |
"+ Including both deaths within the hospital and deaths identified by matching thte patient to the social security master death index, 39.5% of study participants were deceased.\n", |
|
|
2677 |
"+ A total of 22% of ICU patients had underlying chronic deases - Metastatic Cancer (8.7%), Hematologic Malignancy (2.4%), and AIDS (0.6%). \n", |
|
|
2678 |
"+ A total of 19% of ICU patients had blood urea nitrogen level outside of the normal range within the first 24 hours of ICU stay. \n", |
|
|
2679 |
"+ 9.5% of ICU patients had blood bicarbonate level outside of the normal range within the first 24 hours of ICU stay.\n", |
|
|
2680 |
"+ 59% of ICU patients were on mechanical ventilation within the first 24 hours of ICU stay. \n", |
|
|
2681 |
"+ 78% of ICU patients had temprature above normal within the first 24 hours of ICU stay. \n", |
|
|
2682 |
"+ 10% of ICU patients had above normal blood bilirubin levels within the first 24 hours of ICY stay. \n", |
|
|
2683 |
"+ 52% of ICU patients had Glasgow Coma Score of less than 14 (below the normal range) within the first 24 hours of ICU stay. \n", |
|
|
2684 |
"+ 2.5% of ICU patients had blood potassium level outside of the normal range within the first 24 hours of ICU stay.\n", |
|
|
2685 |
"+ 4% of ICU patients had blood sodium level outside of the normal range within the first 24 hours of ICU stay.\n", |
|
|
2686 |
"+ 4% of ICU patients had white blood cell counts outside of the normal range within the first 24 hours of ICU stay. \n", |
|
|
2687 |
"+ 56.4% of ICU patients had heart rate outside of the normal range within the first 24 hours of ICU stay.\n", |
|
|
2688 |
"+ 6% of ICU patients experianced cardiac arrest the first 24 hours of ICU stay\n", |
|
|
2689 |
"+ 82.5% of ICU patients had systolic blood pressure outside of the normal range within the first 24 hours of ICU stay.\n", |
|
|
2690 |
"+ 75% of ICU patients had urine output level below normal range within the first 24 hours of ICU stay. " |
|
|
2691 |
] |
|
|
2692 |
}, |
|
|
2693 |
{ |
|
|
2694 |
"cell_type": "markdown", |
|
|
2695 |
"metadata": {}, |
|
|
2696 |
"source": [ |
|
|
2697 |
"## 2. Demonstrate Correlations" |
|
|
2698 |
] |
|
|
2699 |
}, |
|
|
2700 |
{ |
|
|
2701 |
"cell_type": "code", |
|
|
2702 |
"execution_count": 142, |
|
|
2703 |
"metadata": {}, |
|
|
2704 |
"outputs": [ |
|
|
2705 |
{ |
|
|
2706 |
"data": { |
|
|
2707 |
"text/plain": [ |
|
|
2708 |
"[Text(0.5, 1, 'Correlations: ICU Patients SAPSII Score')]" |
|
|
2709 |
] |
|
|
2710 |
}, |
|
|
2711 |
"execution_count": 142, |
|
|
2712 |
"metadata": {}, |
|
|
2713 |
"output_type": "execute_result" |
|
|
2714 |
}, |
|
|
2715 |
{ |
|
|
2716 |
"data": { |
|
|
2717 |
"image/png": 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\n", |
|
|
2718 |
"text/plain": [ |
|
|
2719 |
"<Figure size 1296x1296 with 2 Axes>" |
|
|
2720 |
] |
|
|
2721 |
}, |
|
|
2722 |
"metadata": {}, |
|
|
2723 |
"output_type": "display_data" |
|
|
2724 |
} |
|
|
2725 |
], |
|
|
2726 |
"source": [ |
|
|
2727 |
"saps=saps.drop(['SUBJECT_ID','HADM_ID', 'ICUSTAY_ID'], axis=1)\n", |
|
|
2728 |
"# Compute correlations\n", |
|
|
2729 |
"corr = saps.corr()\n", |
|
|
2730 |
"\n", |
|
|
2731 |
"# Exclude duplicate correlations by masking uper right values\n", |
|
|
2732 |
"mask = np.zeros_like(corr, dtype=np.bool)\n", |
|
|
2733 |
"mask[np.triu_indices_from(mask)] = True\n", |
|
|
2734 |
"\n", |
|
|
2735 |
"# Set background color / chart style\n", |
|
|
2736 |
"sns.set_style(style = 'white')\n", |
|
|
2737 |
"\n", |
|
|
2738 |
"# Set up matplotlib figure\n", |
|
|
2739 |
"f, ax = plt.subplots(figsize=(18, 18))\n", |
|
|
2740 |
"\n", |
|
|
2741 |
"# Add diverging colormap\n", |
|
|
2742 |
"#cmap =sns.diverging_palette(150, 275, s=80, l=55, n=12)\n", |
|
|
2743 |
"cmap = sns.diverging_palette(220, 20, sep=20, as_cmap=True)\n", |
|
|
2744 |
"\n", |
|
|
2745 |
"# Draw correlation plot\n", |
|
|
2746 |
"sns.heatmap(corr, mask=mask, cmap=cmap, \n", |
|
|
2747 |
" square=True,\n", |
|
|
2748 |
" linewidths=.5, cbar_kws={\"shrink\": .5}, ax=ax)\n", |
|
|
2749 |
"ax.set (title='Correlations: ICU Patients SAPSII Score')" |
|
|
2750 |
] |
|
|
2751 |
}, |
|
|
2752 |
{ |
|
|
2753 |
"cell_type": "code", |
|
|
2754 |
"execution_count": 144, |
|
|
2755 |
"metadata": {}, |
|
|
2756 |
"outputs": [ |
|
|
2757 |
{ |
|
|
2758 |
"data": { |
|
|
2759 |
"text/plain": [ |
|
|
2760 |
"bp_5.0 -0.135879\n", |
|
|
2761 |
"hr_0.0 -0.106079\n", |
|
|
2762 |
"Sodium_0.0 -0.102613\n", |
|
|
2763 |
"bp_0.0 -0.092186\n", |
|
|
2764 |
"hr_4.0 -0.083538\n", |
|
|
2765 |
"WBC_0.0 -0.066560\n", |
|
|
2766 |
"hr_2.0 -0.055233\n", |
|
|
2767 |
"Potassium_0.0 -0.044101\n", |
|
|
2768 |
"hr_7.0 -0.026656\n", |
|
|
2769 |
"bp_2.0 -0.017075\n", |
|
|
2770 |
"Temp 0.007418\n", |
|
|
2771 |
"los 0.038376\n", |
|
|
2772 |
"Potassium_3.0 0.044101\n", |
|
|
2773 |
"Bilirubin 0.064975\n", |
|
|
2774 |
"WBC_3.0 0.066560\n", |
|
|
2775 |
"Sodium_5.0 0.067255\n", |
|
|
2776 |
"Sodium_1.0 0.076217\n", |
|
|
2777 |
"ud 0.085655\n", |
|
|
2778 |
"ventilation 0.162126\n", |
|
|
2779 |
"admission 0.162633\n", |
|
|
2780 |
"AGE 0.174295\n", |
|
|
2781 |
"UO 0.184033\n", |
|
|
2782 |
"Bicarbonate 0.186168\n", |
|
|
2783 |
"bun 0.203030\n", |
|
|
2784 |
"bp_13.0 0.226155\n", |
|
|
2785 |
"gcs 0.262179\n", |
|
|
2786 |
"saps2 0.421423\n", |
|
|
2787 |
"death 0.433143\n", |
|
|
2788 |
"hr_11.0 0.433746\n", |
|
|
2789 |
"hdeath 1.000000\n", |
|
|
2790 |
"Name: hdeath, dtype: float64" |
|
|
2791 |
] |
|
|
2792 |
}, |
|
|
2793 |
"execution_count": 144, |
|
|
2794 |
"metadata": {}, |
|
|
2795 |
"output_type": "execute_result" |
|
|
2796 |
} |
|
|
2797 |
], |
|
|
2798 |
"source": [ |
|
|
2799 |
"# Correlations of numerical values\n", |
|
|
2800 |
"saps.corr()['hdeath'].sort_values()" |
|
|
2801 |
] |
|
|
2802 |
}, |
|
|
2803 |
{ |
|
|
2804 |
"cell_type": "code", |
|
|
2805 |
"execution_count": 145, |
|
|
2806 |
"metadata": {}, |
|
|
2807 |
"outputs": [ |
|
|
2808 |
{ |
|
|
2809 |
"data": { |
|
|
2810 |
"text/plain": [ |
|
|
2811 |
"hr_4.0 -0.206029\n", |
|
|
2812 |
"Sodium_0.0 -0.086233\n", |
|
|
2813 |
"Bilirubin -0.065717\n", |
|
|
2814 |
"hr_7.0 -0.062670\n", |
|
|
2815 |
"bp_0.0 -0.030573\n", |
|
|
2816 |
"hr_0.0 -0.004219\n", |
|
|
2817 |
"bp_5.0 -0.002464\n", |
|
|
2818 |
"Potassium_3.0 -0.000401\n", |
|
|
2819 |
"WBC_0.0 -0.000081\n", |
|
|
2820 |
"WBC_3.0 0.000081\n", |
|
|
2821 |
"Potassium_0.0 0.000401\n", |
|
|
2822 |
"los 0.007898\n", |
|
|
2823 |
"bp_2.0 0.019057\n", |
|
|
2824 |
"hr_2.0 0.021176\n", |
|
|
2825 |
"bp_13.0 0.022891\n", |
|
|
2826 |
"Sodium_5.0 0.049146\n", |
|
|
2827 |
"Sodium_1.0 0.070888\n", |
|
|
2828 |
"ventilation 0.082251\n", |
|
|
2829 |
"Bicarbonate 0.082257\n", |
|
|
2830 |
"gcs 0.124120\n", |
|
|
2831 |
"UO 0.153244\n", |
|
|
2832 |
"ud 0.181802\n", |
|
|
2833 |
"Temp 0.197986\n", |
|
|
2834 |
"hr_11.0 0.199236\n", |
|
|
2835 |
"bun 0.287472\n", |
|
|
2836 |
"admission 0.297403\n", |
|
|
2837 |
"saps2 0.367351\n", |
|
|
2838 |
"AGE 0.416355\n", |
|
|
2839 |
"hdeath 0.433143\n", |
|
|
2840 |
"death 1.000000\n", |
|
|
2841 |
"Name: death, dtype: float64" |
|
|
2842 |
] |
|
|
2843 |
}, |
|
|
2844 |
"execution_count": 145, |
|
|
2845 |
"metadata": {}, |
|
|
2846 |
"output_type": "execute_result" |
|
|
2847 |
} |
|
|
2848 |
], |
|
|
2849 |
"source": [ |
|
|
2850 |
"# Correlations of numerical values\n", |
|
|
2851 |
"saps.corr()['death'].sort_values()" |
|
|
2852 |
] |
|
|
2853 |
}, |
|
|
2854 |
{ |
|
|
2855 |
"cell_type": "markdown", |
|
|
2856 |
"metadata": {}, |
|
|
2857 |
"source": [ |
|
|
2858 |
"## Results 2: \n", |
|
|
2859 |
"### Correlations\n", |
|
|
2860 |
"\n", |
|
|
2861 |
"+ The heat map above provides a wholestic picture of where the correlation between variables of interest stands. Light teal-to-dark teal color represents negative correlation between two corrosponding variables. Light red to dark red color represents positive correlation between two corrosponding variables (columns). The darker the color, the stronger the correlation.\n", |
|
|
2862 |
"+ Generally speaking there is correlation (although weak - between 2 and -2) with all of the phsyilogical variables. \n", |
|
|
2863 |
"+ Cardiac arrest (hr_11) is strongly correlated (43.4%) with hospital death, morethan the total SAPSII score - created as a combined score of all 17 phsiological variables.\n", |
|
|
2864 |
"+ Extreme levels of systolic blood pressure (below 70mmHg) and low levels of Glasgow Coma Score were correlatd with within hospital death. \n", |
|
|
2865 |
"+ When we change the target variable from death within hospital death to death - including both deaths within the hospital and deaths identified by matching thte patient to the social security master death index, we observe, expectedly age playing key role (correlation score increased from 17% to 42%). \n" |
|
|
2866 |
] |
|
|
2867 |
}, |
|
|
2868 |
{ |
|
|
2869 |
"cell_type": "markdown", |
|
|
2870 |
"metadata": {}, |
|
|
2871 |
"source": [ |
|
|
2872 |
"## 3. Show Distributions and Comparisons " |
|
|
2873 |
] |
|
|
2874 |
}, |
|
|
2875 |
{ |
|
|
2876 |
"cell_type": "code", |
|
|
2877 |
"execution_count": 166, |
|
|
2878 |
"metadata": {}, |
|
|
2879 |
"outputs": [ |
|
|
2880 |
{ |
|
|
2881 |
"data": { |
|
|
2882 |
"text/plain": [ |
|
|
2883 |
"<Figure size 792x432 with 0 Axes>" |
|
|
2884 |
] |
|
|
2885 |
}, |
|
|
2886 |
"metadata": {}, |
|
|
2887 |
"output_type": "display_data" |
|
|
2888 |
} |
|
|
2889 |
], |
|
|
2890 |
"source": [ |
|
|
2891 |
"survived=saps.saps2.loc[saps.hdeath==0]\n", |
|
|
2892 |
"deceased=saps.saps2.loc[saps.hdeath==1]" |
|
|
2893 |
] |
|
|
2894 |
}, |
|
|
2895 |
{ |
|
|
2896 |
"cell_type": "code", |
|
|
2897 |
"execution_count": 167, |
|
|
2898 |
"metadata": {}, |
|
|
2899 |
"outputs": [ |
|
|
2900 |
{ |
|
|
2901 |
"data": { |
|
|
2902 |
"image/png": 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\n", |
|
|
2903 |
"text/plain": [ |
|
|
2904 |
"<Figure size 792x432 with 1 Axes>" |
|
|
2905 |
] |
|
|
2906 |
}, |
|
|
2907 |
"metadata": {}, |
|
|
2908 |
"output_type": "display_data" |
|
|
2909 |
} |
|
|
2910 |
], |
|
|
2911 |
"source": [ |
|
|
2912 |
"plt.figure(figsize = (11, 6))\n", |
|
|
2913 |
"_ = plt.hist(survived, bins=30, alpha=0.5, label='ICU Patients Survived')\n", |
|
|
2914 |
"_ = plt.hist(deceased, bins=30, alpha=0.5, label='ICU Patients Deceased')\n", |
|
|
2915 |
"_ = plt.xlabel('SAPSII Total Score')\n", |
|
|
2916 |
"_ = plt.ylabel('Frequency')\n", |
|
|
2917 |
"_ = plt.legend()" |
|
|
2918 |
] |
|
|
2919 |
}, |
|
|
2920 |
{ |
|
|
2921 |
"cell_type": "code", |
|
|
2922 |
"execution_count": 169, |
|
|
2923 |
"metadata": {}, |
|
|
2924 |
"outputs": [], |
|
|
2925 |
"source": [ |
|
|
2926 |
"# Scipy helper functions\n", |
|
|
2927 |
"from scipy.stats import percentileofscore\n", |
|
|
2928 |
"from scipy import stats\n", |
|
|
2929 |
"# Calculate percentile for SAPSII Total Score\n", |
|
|
2930 |
"saps['percentile'] = saps['saps2'].apply(lambda x: percentileofscore(saps['saps2'], x))" |
|
|
2931 |
] |
|
|
2932 |
}, |
|
|
2933 |
{ |
|
|
2934 |
"cell_type": "code", |
|
|
2935 |
"execution_count": 170, |
|
|
2936 |
"metadata": {}, |
|
|
2937 |
"outputs": [ |
|
|
2938 |
{ |
|
|
2939 |
"data": { |
|
|
2940 |
"image/png": 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Ci50mj7ki3P31cwmNi6xxLE61S0L0XELji6qluON4Mm55P+dNPgmYzZo1U3Z2ttq0aaPVq1erbdu2atCggaZMmaInnnhCBw8elMvlonsJAPALAmTFdm7zT3FWDOv4u7vIz61j9PYu8uKO48m45f2cN/kkYCYlJWnMmDHKzMxUdHS0EhISFBISohtvvFG9evWSy+XS2LFjfVEKAKCSI0x6XzDtIpd0wSWJinPfDVf5JLCV9zi+qs9TNmPMbzd3BbQePXpo6dKl/i4DABAkKmug/P7Fu/1dAiqBknIZF1oHAFQYFSVMEg4R7AiYAICgFeiBkqCIyoqACQAICoEeJiUCJXAOARMAEJACLVASHgHPETABAAHH1+GS8AhYi4AJAAgIvgyVBErAuwiYAACfI0wCFRsBEwDgdQRKoHIhYAIAvMqb4ZIwCQQmAiYAwFIESgAETACAZbwRLgmVQPAhYAIALgodSwC/RcAEAJSbleGSMAlUHARMAIDHCJQAPEHABAB45GLDJYESqDwImACAElnVsSRcApULARMAUCw6lgDKi4AJAHCjYwnACgRMAICkiwuXBEoA57P7uwAAQHAjXAL4LTqYAFBJ0bEE4C10MAGgEiJcAvAmOpgAUEkQKgH4Ch1MAKgECJcAfIkOJgBUQARKAP5EBxMAKhgr7xcOAOVBwAQAuNG9BGAFpsgBoAJgShxAIKGDCQBBjnAJINDQwQSASoRACcAXCJgAEGTK27EkXALwFQImAASRsoZLQiUAfyBgAkCA47JDAIINm3wAIICxgQdAMKKDCQAVBIESQKCggwkAAABL0cEEgABTnmlxupcAAgkBEwACSFnCJaESQKBiihwAghDhEkAgo4MJAH5ExxJARUQHEwD8hOtbAqioCJgAAACwFFPkAOBD3EccQGVAwAQAH2G9JYDKgilyAAAAWIqACQABhu4lgGDHFDkAeAlT4gAqKzqYAOAFXIIIQGVGwAQAP6N7CaCiYYocACziadeSQAmgoqODCQAWYEocAH7lsw6mw+FQcnKycnJyZLfbNX78eIWGhio5OVk2m00xMTFKTU2V3U7mBQAACGY+C5j/+c9/VFhYqIULF2rdunV66aWX5HA4lJiYqDZt2mjs2LFatWqVunTp4quSAMDnmB4HUBn4LGA2atRITqdTLpdLubm5Cg0N1datWxUXFydJio+P17p16wiYAIIClyACgJL5LGBWr15dOTk5uvPOO3Xs2DHNmDFDmzZtks1mkySFh4fr5MmTvioHAMqN9ZYAUDqfBcy5c+eqffv2Gj58uA4cOKB+/frJ4XC4X8/Ly1NkZKSvygEAn6B7CaAy8lnAjIyM1CWXXCJJuvTSS1VYWKhmzZopOztbbdq00erVq9W2bVtflQMAZcIliADAcz4LmP3791dKSooefvhhORwODR06VM2bN9eYMWOUmZmp6OhoJSQk+KocAPAYU+IAUDY+C5jh4eF6+eWXL3h+3rx5vioBADxGqASA8uOikwDwG+UNl0yPA8BZ3CoSAC4CoRIALkQHEwAAAJaigwmg0mNKHACsRcAEUKmVNVwSKgHg9zFFDgAeIlwCgGfoYAKodLhoOgB4Fx1MAJUK17cEAO8jYAIAAMBSBEwAKAbT4wBQfqzBBID/R6gEAGsQMAFUaKy5BADfY4ocQIVVlnBJ9xIArEMHE0ClRKAEAO+hgwkAAABL0cEEUKGw5hIA/I8OJoAKg3AJAIGBgAmg0mH9JQB4F1PkACoFQiUA+A4BE0DQYkocAAITU+QAghLhEgACFwETQIXH9DgA+BZT5AAqHAIlAPgXARNA0GBaHACCA1PkAIIC4RIAggcBE0CFwvQ4APgfU+QAgh6hEgACCwETQMBiWhwAghNT5AACEuESAIIXARNAUGN6HAACD1PkAIIOoRIAAhsBE0BAYEocACoOpsgB+B3hEgAqFgImgKDC9DgABD6myAH4haddSwIlAAQfOpgAfI4pcQCo2AiYAAAAsBQBE0DAYnocAIITazABeF1ZpsQJlQAQ/OhgAvAq1lsCQOVDwAQQMOheAkDFwBQ5AL8hUAJAxUQHEwAAAJYiYAIAAMBSTJEDsJwnG3uYHgeAiouACcBSpYVLQiUAVA5MkQMAAMBSBEwAAABYioAJAAAAS7EGE8BF4U49AIDfooMJoNy4xzgAoDg+7WDOnDlTH3/8sRwOhx566CHFxcUpOTlZNptNMTExSk1Nld1O5gUqAgIlAFRePktz2dnZ+uKLL7RgwQJlZWXp4MGDmjhxohITE/X222/LGKNVq1b5qhwAAAB4ic86mGvXrlVsbKwGDRqk3NxcPf/881q0aJHi4uIkSfHx8Vq3bp26dOniq5IAlANrLgEAv8dnAfPYsWPav3+/ZsyYoX379unpp5+WMUY2m02SFB4erpMnT/qqHADlQLgEAHjCZwGzZs2aio6OVpUqVRQdHa2wsDAdPHjQ/XpeXp4iIyN9VQ4AL2L9JQBUbj5bg9m6dWutWbNGxhgdOnRI+fn5ateunbKzsyVJq1ev1o033uircgBY7PsX73b/DwBQufmsg9mpUydt2rRJDzzwgIwxGjt2rOrVq6cxY8YoMzNT0dHRSkhI8FU5AAAA8BKfXqbo+eefv+C5efPm+bIEAGXEuksAQFlx0UkAJfI0XDItDgA4H7eKBFAuhEoAQEnoYAIAAMBSdDABuLHeEgBgBTqYACQRLgEA1ilTwPzll1+8VQeAIML6SwBAaTyaIv/ss880btw4OZ1Ode3aVXXr1lXPnj29XRuAAEGgBACUhUcdzJdfflnz5s1T7dq19dRTT2nBggXergsAAABByqOAabfbVbNmTdlsNoWFhSk8PNzbdQEAACBIeTRF3qBBA02dOlXHjx/XrFmzVLduXW/XBcAHPNnYw/Q4AKCsPAqYL7zwghYvXqzWrVurevXqGj9+vLfrAuBlpYVLQiUA4GKUGjDXrl3r/rp+/fqqX7++pLObftq3b+/dygAAABCUSg2YH35YcoeDgAkAAIDilBowx48fr9DQUBUUFPiqHgAAAAS5UgNmUlKSpk6dqq5du8pms0mSjDGy2WxatWqVTwoEAABAcCk1YE6dOlWS9NJLL6lFixbu57Ozs71bFQDLeXorSDb4AAAuVqkBc/Pmzdq9e7fmzp2rxx57TJLkcrk0f/58ffDBBz4pEMDFY8c4AMCXSg2YkZGROnLkiAoKCnT48GFJks1m03PPPeeT4gAAABB8Sg2YsbGxio2NVc+ePVWnTh1f1QQAAIAg5tGF1jds2KCZM2eqoKCATT4AAAAolUcBc/bs2ZoxY4auvPJKb9cDwCKebuoBAMBqHgXM+vXrq2HDht6uBYBF2DEOAPAnjwJm1apV9eSTT6pp06bu62EOGzbMq4UB8A5CJQDA2zwKmB06dPB2HQAAAKgg7J68qXv37iosLNTevXtVt25dAicAAABK5FHATE1N1f79+7Vu3Trl5eUpKSnJ23UBAAAgSHk0Rf7jjz9qwoQJ2rx5szp37qxZs2Z5uy4AZcCmHgBAIPEoYDqdTh09elQ2m025ubmy2z1qfALwAW4DCQAINB4FzMTERD300EM6fPiwevXqpZSUFG/XBQAAgCDlUcCMi4vTm2++qapVq2rfvn1q0aKFt+sCAABAkPJornvs2LFatmyZoqKi9P777ys9Pd3bdQEAACBIedTB3LFjh8aNGydJGj16tB555BGvFgWgdNwGEgAQyDzqYBpjdOzYMUnSiRMn5HQ6vVoUgJKxYxwAEOg86mAOHjxY999/v2rWrKkTJ04oNTXV23UBKAdCJQAgEHgUME+cOKEVK1bo2LFjuuyyy9z3IwcAAAB+y6Mp8kWLFikkJES1a9cmXAIAAKBUHnUwCwoKdN9996lRo0bui6xPnTrVq4UB+BWbegAAwcSjgDlixAhv1wGgBGzqAQAEG48CZrNmzTR79mwdPnxYHTt2VOPGjb1dFwAPECoBAIHIozWYKSkpql+/vr7//nvVrl1bo0aN8nZdAAAACFIeBczjx4/rgQceUGhoqFq1aiVjjLfrAgAAQJDyKGBK0p49eyRJBw8edG/0AQAAAH7rd5Nibm6uRo8erZSUFH399dcaMmSIkpOTfVEbAJW8zpL1lwCAQFXqJp958+Zpzpw5Cg0N1ejRoxUfH++ruoBKq7hd44RJAEAwKbWD+cEHH+hf//qXFi5cqLfeestXNQGVVkmXJOI6mACAYFJqwKxSpYqqVKmiqKgoORwOX9UEAACAIObxbh12jgMAAMATpa7B3L17t4YPHy5jjPvrc7hVJAAAAIpTasB86aWX3F/37t3b68UAAAAg+JUaMOPi4nxVBwCd3S3OLnIAQLDz6F7kALyHQAkAqGi4JQ/gR1yWCABQEfk8YP7888/q0KGD9uzZox9++EEPPfSQHn74YaWmpsrlcvm6HAAAAFjMpwHT4XBo7Nixqlq1qiRp4sSJSkxM1Ntvvy1jjFatWuXLcgAAAOAFPg2YkyZNUu/evXXFFVdIkr766iv3RqL4+HitX7/el+UAAADAC3wWMJcuXaqoqCjdeuut7ueMMbLZbJKk8PBwnTx50lflAAAAwEt8tov83Xfflc1m04YNG7Rjxw4lJSXp6NGj7tfz8vIUGRnpq3KAgMBliQAAFZHPAub8+fPdX/fp00dpaWmaMmWKsrOz1aZNG61evVpt27b1VTmAXxAmAQCVgV8vU5SUlKRp06apV69ecjgcSkhI8Gc5gFdxSSIAQGXhlwutZ2Vlub+eN2+eP0oAAACAl3ChdQAAAFiKgAkAAABLETABAABgKQIm4CMl7RZnFzkAoKLxyyYfoLIiTAIAKgMCJuBFXPcSAFAZMUUOeAnXvQQAVFYETAAAAFiKgAkAAABLsQYTsAhT3wAAnEUHE7AA4RIAgF8RMAEfYxc5AKCiY4oc8DICJQCgsqGDCQAAAEsRMAEAAGApAiZgAe4zDgDAr1iDCZQTt4EEAKB4dDCBcuA2kAAAlIyACQAAAEsRMAEAAGApAiYAAAAsRcAEAACApQiYQDlwWSIAAErGZYoAD3FZIgAAPEMHE/AAlyUCAMBzBEwAAABYioAJAAAASxEwAQAAYCkCJgAAACzFLnKgGJ5u3mEXOQAAFyJgAr9RWrgkUAIA8PuYIgcAAIClCJgAAACwFAETAAAAliJgAgAAwFIETOA3StrIwwYfAAA8wy5yQMXvHCdQAgBQPnQwUemVdFkiT6+FCQAAiiJgAgAAwFIETAAAAFiKNZiodJj6BgDAu+hgolIhXAIA4H0ETKAE7CIHAKB8mCJHhedp15JACQCANehgokJjShwAAN8jYAIAAMBSBExATI8DAGAl1mCi0iJUAgDgHXQwAQAAYCkCJiq0krqUdC8BAPAepshRoRS3a5wwCQCAb/ksYDocDqWkpCgnJ0cFBQV6+umnde211yo5OVk2m00xMTFKTU2V3U5TFeVT0iWJrk7+kJAJAIAP+Sxgvv/++6pZs6amTJmiY8eO6U9/+pOaNGmixMREtWnTRmPHjtWqVavUpUsXX5UEAAAAL/BZu7Br16569tln3Y9DQkL01VdfKS4uTpIUHx+v9evX+6ocAAAAeInPAmZ4eLgiIiKUm5urIUOGKDExUcYY2Ww29+snT570VTkAAADwEp8ueDxw4ID69u2re++9V927dy+y3jIvL0+RkZG+LAcAAABe4LM1mEeOHNHjjz+usWPHql27dpKkZs2aKTs7W23atNHq1avVtm1bX5WDCsKTe42zwQcAAN/yWcCcMWOGTpw4oddee02vvfaaJGnUqFFKT09XZmamoqOjlZCQ4KtyUAGUFi4JlQAA+I/PAubo0aM1evToC56fN2+er0oAAACAD3DRSQAAAFiKO/kgqHiy5hIAAPgXHUwEDcIlAADBgYCJCocNPgAA+BdT5KgQCJUAAAQOOpgAAACwFAETAAAAlmKKHAHL0009TI8DABBYCJgISNylBwCA4MUUOQAAACxFwAQAAIClmCJHwOBC6gAAVAx0MBEQCJcAAFQcBEwEFTb4AAAQ+Jgih1+UpWNJqAQAILjQwYTPMR0OAEDFRsAEAACApQiYCGhMjwMAEHxYgwmf4LaPAABUHlX7bpUAAA/qSURBVHQw4XWsuQQAoHKhgwnLlTdQ0r0EAKBiIGDCUmUNl4RKAAAqHqbIAQAAYCkCJgAAACxFwITfMD0OAEDFxBpM+AyBEgCAyoGAiYvmycYewiUAAJUHARMXpbRwSagEAKByYg0mAAAALEXABAAAgKUImAAAALAUazBRZtxbHAAAlIYOJsrE03DJBh8AACovOpgoVVm6lYRKAAAgETDxG0x/AwCAi8UUOdwIlwAAwAp0MCsxAiUAAPAGOpiVlNXhkvWXAADgHDqYKBcCJQAAKAkBsxKxqmtJuAQAAKUhYFYSFxMuCZQAAKAsCJgVFIESAAD4CwGzgmD6GwAABAoCZgVwseGSUAkAAKzEZYoAAABgKTqYQYopcQAAEKgImEGIDTwAACCQMUVeiRAuAQCAL9DBDALl7VgSKAEAgD8QMH3s98JiZFiITpxxlnt8QiUAAPA3AqYXlafzeDHhEgAAIBD4PWC6XC6lpaVp586dqlKlitLT09WwYUN/l1VsOPy97qBVO7vLi+4lAAAIBH4PmCtXrlRBQYHeeecdbd26VS+++KKmT5/u15pKCopXJ39YYojzR7gkUAIAgEDk913kW7Zs0a233ipJatmypbZv3+7nigAAAHAx/B4wc3NzFRER4X4cEhKiwsJCP1YUHOheAgCAQOX3KfKIiAjl5eW5H7tcLoWG+r0svylpFzmBEgAABAu/J7lWrVrpk08+0V133aWtW7cqNjbW3yV5FUERAABUdH4PmF26dNG6devUu3dvGWOUkZHh75L0/Yt3l3kXeXk+AwAAUBH5PWDa7XaNGzfO32VcoDzBkDAJAAAQAJt8AAAAULEQMAEAAGApAiYAAAAsRcAEAACApQiYAAAAsBQBEwAAAJYiYAIAAMBSBEwAAABYioAJAAAASxEwAQAAYCm/3yqyrHJyctSjRw9/lwEAAFDp5eTkFPu8zRhjfFwLAAAAKjCmyAEAAGApAiYAAAAsRcAEAACApQiYAAAAsBQBEwAAAJYKussU+YLL5VJaWpp27typKlWqKD09XQ0bNvR3WSX68ssv9de//lVZWVn64YcflJycLJvNppiYGKWmpspuD4y/IxwOh1JSUpSTk6OCggI9/fTTuvbaawO2XqfTqdGjR+u7775TSEiIJk6cKGNMwNZ7zs8//6wePXpozpw5Cg0NDfh677vvPtWoUUOSVK9ePfXq1UsTJkxQSEiI2rdvr8GDB/u5wqJmzpypjz/+WA6HQw899JDi4uIC+hwvXbpU7733niTpzJkz2rFjh7KysgL2HDscDiUnJysnJ0d2u13jx48P6J/jgoICjRw5Unv37lVERITGjh2r48ePB+T59eR3xSuvvKJPP/1UoaGhSklJUYsWLfxdNoKVwQX+/e9/m6SkJGOMMV988YV56qmn/FxRyWbNmmW6detmevbsaYwxZuDAgWbjxo3GGGPGjBlj/vu//9uf5RWxZMkSk56ebowx5ujRo6ZDhw4BXe+KFStMcnKyMcaYjRs3mqeeeiqg6zXGmIKCAvOXv/zF3HHHHWb37t0BX+/p06fNvffeW+S5e+65x/zwww/G5XKZJ5980mzfvt1P1V1o48aNZuDAgcbpdJrc3FzzX//1XwF/js+XlpZmFi5cGNDneMWKFWbIkCHGGGPWrl1rBg8eHNDnOCsry4wePdoYY8yePXvM448/HpDn15PfFdu3bzd9+vQxLpfL5OTkmB49evizZAS5wPgTMMBs2bJFt956qySpZcuW2r59u58rKlmDBg00bdo09+OvvvpKcXFxkqT4+HitX7/eX6VdoGvXrnr22Wfdj0NCQgK63ttvv13jx4+XJO3fv1+1a9cO6HoladKkSerdu7euuOIKSYH98yBJ33zzjfLz8/X444+rb9++2rRpkwoKCtSgQQPZbDa1b99eGzZs8HeZbmvXrlVsbKwGDRqkp556Sh07dgz4c3zOtm3btHv3bt19990BfY4bNWokp9Mpl8ul3NxchYaGBvQ53r17t+Lj4yVJ0dHR2rZtW0CeX09+V2zZskXt27eXzWZT3bp15XQ6dfToUX+VjCBHwCxGbm6uIiIi3I9DQkJUWFjox4pKlpCQoNDQX1c6GGNks9kkSeHh4Tp58qS/SrtAeHi4IiIilJubqyFDhigxMTGg65Wk0NBQJSUlafz48UpISAjoepcuXaqoqCj3H0dSYP88SFLVqlX1xBNP6I033tALL7ygkSNHqlq1au7XA63mY8eOafv27Xr55Zf1wgsvaMSIEQF/js+ZOXOmBg0adMG/b4FWc/Xq1ZWTk6M777xTY8aMUZ8+fQL6HDdt2lSffPKJjDHaunWrTp48qerVq7tfD5R6PfldEeg/GwgurMEsRkREhPLy8tyPXS5Xkf9jBrLz1yXl5eUpMjLSj9Vc6MCBAxo0aJAefvhhde/eXVOmTHG/Foj1Sme7giNGjNCDDz6oM2fOuJ8PtHrfffdd2Ww2bdiwQTt27FBSUlKR7kOg1Sud7VY1bNhQNptNjRo1Uo0aNXT8+HH364FWc82aNRUdHa0qVaooOjpaYWFhOnjwoPv1QKv3nBMnTuh///d/1bZtW+Xm5hb59y3Qap47d67at2+v4cOH68CBA+rXr58cDof79UCr9/7779eePXvUt29ftWrVSk2aNFF+fr779UCr95ziflf89ndfXl6ee300UFZ0MIvRqlUrrV69WpK0detWxcbG+rkizzVr1kzZ2dmSpNWrV+vGG2/0c0W/OnLkiB5//HE999xzeuCBByQFdr3Lli3TzJkzJUnVqlWTzWZT8+bNA7be+fPna968ecrKylLTpk01adIkxcfHB2y9krRkyRK9+OKLkqRDhw4pPz9f1atX148//ihjjNauXRtQNbdu3Vpr1qyRMcZdb7t27QL6HEvSpk2bdPPNN0s6+wf0JZdcErDnODIy0h1qLr30UhUWFgb0vxPbtm1T69atlZWVpdtvv11XX311QJ/fc4o7p61atdLatWvlcrm0f/9+uVwuRUVF+blSBCvuRV6Mc7vIv/32WxljlJGRoWuuucbfZZVo3759GjZsmBYtWqTvvvtOY8aMkcPhUHR0tNLT0xUSEuLvEiVJ6enp+uc//6no6Gj3c6NGjVJ6enpA1nvq1CmNHDlSR44cUWFhoQYMGKBrrrkmYM/v+fr06aO0tDTZ7faArvfcDtz9+/fLZrNpxIgRstvtysjIkNPpVPv27TV06FB/l1nE5MmTlZ2dLWOMhg4dqnr16gX0OZak119/XaGhoerfv7+ks384B+o5zsvLU0pKig4fPiyHw6G+ffuqefPmAXuOjx49qmHDhik/P181atTQhAkTdODAgYA8v578rpg2bZpWr14tl8ulkSNHBmQ4RnAgYAIAAMBSTJEDAADAUgRMAAAAWIqACQAAAEsRMAEAAGApAiYAAAAsFRxXDwcAD82aNUvr16+X3W6XzWbT0KFD1bx5c/fr9957r1q1aqXU1FT3c82bN9cNN9wgSSosLNQ111zjvszTpEmT9O2338put+uSSy7RqFGjVL9+fSUnJ+uuu+5SfHy8brnlFq1bt8493s6dO5Weni7p7CWBWrRoIbvdrieeeEIdO3Ystu63335bvXv3LnIB7PONGDFCPXr0cF/PUjp7Ka20tDT9/PPPks5eQzI1NVU1a9Ys38kDAIsQMAFUGLt379bHH3+sBQsWyGazue9o9P7770uStmzZotjYWG3cuLHIbfEuvfRSZWVlucdJTEzUf/7zH4WGhuqnn37Sm2++KUlauXKlMjIyNH369FLraNy4sXu8zp07a86cOQoLCyv1MzNmzNCDDz5YYsAszpIlS3TllVdq8uTJkqQ33nhDM2bMUHJyssdjAIA3EDABVBhRUVHav3+/lixZovj4eDVt2lRLlixxv7548WIlJCToyiuv1LJly/Too49eMIbD4dCpU6dUvXp1RUVFafv27froo4/Utm1b3XbbbYqPj7+oGrdt26YJEyYoNDRUYWFhSk9P1+rVq90X7M7MzNSYMWN06NAh/fLLL+rYsaOeeeaZYseqW7euli1bppYtW+qmm25S//79de7Sxu+8847eeecduVwudenSRYMGDdKyZcuUlZWlKlWqqFGjRho3bpzee+89LV++XE6nU4mJiTpy5Ijeeust2e12xcXFBcxFwgEEF9ZgAqgwoqKiNH36dH3++efq1auXunbtqk8++USSlJubqy1btqhjx466//77tWDBAvfnfvnlF/Xp00d9+vTRE088obi4OLVr106NGzfW+PHjtXLlSnXr1k3333+/tm7delE1jhkzRi+88ILmzZunBx98UJMnT1avXr0UFRWlzMxMHThwQK1bt9acOXM0f/58zZ8/v8Sxbr/9dv35z3/WokWL1LlzZ/Xv31/fffedfvrpJ82ZM0cLFizQ0qVLdfz4ce3fv1/Tp09XVlaWFixYoGrVqmnx4sWSpFq1amnBggWKiYnR9OnT9fe//10LFizQ3r17tXHjxov6fgFUTnQwAVQYP/zwgyIiIjRx4kRJZ7uFf/7zn9WmTRt99NFHcrlcGjhwoCTp8OHD2rBhg9q1a3fBFPk533zzjRo1aqTMzEwZY7Ru3TolJiYWWW9ZVkeOHFHjxo0lSTfddJNeeeWVIq/XrFlTW7du1YYNG1SjRg05HI4Sx/r888/Vvn17de3aVYWFhXrvvfeUkpKipKQkNW7c2D0tP2rUKH3xxReKjY1V9erVJUk33nijNm/erCZNmqhRo0aSpO+//14///yzBgwYIOlsKN+7d6/atm1b7u8XQOVEBxNAhbFz506lpaXpzJkzkqRGjRqpRo0aCgkJ0ZIlSzRjxgy98cYbeuONNzR69OhSu4OStGHDBmVmZsrpdMpmsykmJkbVqlWTzWYrd421a9fWrl27JEmfffaZrr76akmS3W6Xy+XSkiVLdNlll2nq1Knq27ev8vPzSxzr/fffd68PDQ0NVePGjVWlShU1bNhQe/bsUUFBgSRp0KBBqlOnjr799lv3eJs2bXIf+9z306BBA1155ZWaM2eOsrKy9Mgjj6hFixbl/l4BVF50MAFUGHfccYf27Nmjnj17qnr16jLG6Pnnn9fevXtljFFMTIz7vQkJCZo4caIOHDhQ4nh9+vTRpEmTdN999ykiIkJ2u929oaa80tPT3TvYQ0NDlZGRIUlq3bq1BgwYoJEjR2rEiBHKzs5W9erVVb9+fR05cqTYsUaMGKG0tDTdc889ql69usLDwzV+/Hhdfvnl6t+/v3uNaZcuXVS3bl09/fTT6tu3r2w2mxo1aqRevXpp+fLl7vFq167tXirgdDpVv359devW7aK+XwCVk82cWxEOAAAAWIApcgAAAFiKgAkAAABLETABAABgKQImAAAALEXABAAAgKUImAAAALAUARMAAACWImACAADAUv8Hk+0XyUjsy8sAAAAASUVORK5CYII=\n", |
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|
2941 |
"text/plain": [ |
|
|
2942 |
"<Figure size 792x432 with 1 Axes>" |
|
|
2943 |
] |
|
|
2944 |
}, |
|
|
2945 |
"metadata": {}, |
|
|
2946 |
"output_type": "display_data" |
|
|
2947 |
} |
|
|
2948 |
], |
|
|
2949 |
"source": [ |
|
|
2950 |
"# Plot percentiles for SAPSII Total Score\n", |
|
|
2951 |
"plt.figure(figsize = (11, 6))\n", |
|
|
2952 |
"plt.plot(saps['saps2'], saps['percentile'], 'o')\n", |
|
|
2953 |
"plt.xticks(range(0, 110, 10), range(0, 110, 10))\n", |
|
|
2954 |
"plt.xlabel('SAPSII Total Score'); plt.ylabel('Percentile'); plt.title('SAPSII Total Score Percentiles');" |
|
|
2955 |
] |
|
|
2956 |
}, |
|
|
2957 |
{ |
|
|
2958 |
"cell_type": "code", |
|
|
2959 |
"execution_count": 165, |
|
|
2960 |
"metadata": {}, |
|
|
2961 |
"outputs": [ |
|
|
2962 |
{ |
|
|
2963 |
"data": { |
|
|
2964 |
"image/png": 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\n", |
|
|
2965 |
"text/plain": [ |
|
|
2966 |
"<Figure size 792x432 with 1 Axes>" |
|
|
2967 |
] |
|
|
2968 |
}, |
|
|
2969 |
"metadata": {}, |
|
|
2970 |
"output_type": "display_data" |
|
|
2971 |
} |
|
|
2972 |
], |
|
|
2973 |
"source": [ |
|
|
2974 |
"plt.figure(figsize = (11, 6))\n", |
|
|
2975 |
"Female=saps.saps2.loc[saps.GENDER=='F']\n", |
|
|
2976 |
"Male=saps.saps2.loc[saps.GENDER=='M']\n", |
|
|
2977 |
"\n", |
|
|
2978 |
"_ = plt.hist(Female, bins=30, alpha=0.5, label='Female ICU Patients')\n", |
|
|
2979 |
"_ = plt.hist(Male, bins=30, alpha=0.5, label='Male ICU Patients')\n", |
|
|
2980 |
"_ = plt.xlabel('SAPSII Total Score')\n", |
|
|
2981 |
"_ = plt.ylabel('Frequency')\n", |
|
|
2982 |
"_ = plt.legend()" |
|
|
2983 |
] |
|
|
2984 |
}, |
|
|
2985 |
{ |
|
|
2986 |
"cell_type": "code", |
|
|
2987 |
"execution_count": 184, |
|
|
2988 |
"metadata": {}, |
|
|
2989 |
"outputs": [ |
|
|
2990 |
{ |
|
|
2991 |
"data": { |
|
|
2992 |
"image/png": 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\n", |
|
|
2993 |
"text/plain": [ |
|
|
2994 |
"<Figure size 1152x576 with 1 Axes>" |
|
|
2995 |
] |
|
|
2996 |
}, |
|
|
2997 |
"metadata": {}, |
|
|
2998 |
"output_type": "display_data" |
|
|
2999 |
} |
|
|
3000 |
], |
|
|
3001 |
"source": [ |
|
|
3002 |
"plt.figure(figsize = (16, 8))\n", |
|
|
3003 |
"\n", |
|
|
3004 |
"no_chronic=saps.saps2.loc[saps.ud==0]\n", |
|
|
3005 |
"aids=saps.saps2.loc[saps.ud==17]\n", |
|
|
3006 |
"malignancy=saps.saps2.loc[saps.ud==10]\n", |
|
|
3007 |
"metastatic=saps.saps2.loc[saps.ud==9]\n", |
|
|
3008 |
"\n", |
|
|
3009 |
"\n", |
|
|
3010 |
"_ = plt.hist(no_chronic, bins=30, alpha=0.5, label='Chronic disease: None')\n", |
|
|
3011 |
"_ = plt.hist(metastatic, bins=30, alpha=0.5, label='Chronic disease: Metastatic Cancer')\n", |
|
|
3012 |
"_ = plt.hist(malignancy, bins=30, alpha=0.5, label='Chronic disease: Hematologic malignancy')\n", |
|
|
3013 |
"_ = plt.hist(aids, bins=30, alpha=0.5, label='Chronic disease: Aids')\n", |
|
|
3014 |
"_ = plt.ylabel('Frequency')\n", |
|
|
3015 |
"_ = plt.xlabel('SAPSII Total Score')\n", |
|
|
3016 |
"_ = plt.legend()\n", |
|
|
3017 |
"_ = plt.axvline(np.mean(no_chronic), color='b', linestyle=':')\n", |
|
|
3018 |
"_ = plt.axvline(np.mean(metastatic), color='y', linestyle=':')\n", |
|
|
3019 |
"_ = plt.axvline(np.mean(malignancy), color='g', linestyle=':')\n", |
|
|
3020 |
"_ = plt.axvline(np.mean(aids), color='r', linestyle=':')" |
|
|
3021 |
] |
|
|
3022 |
}, |
|
|
3023 |
{ |
|
|
3024 |
"cell_type": "code", |
|
|
3025 |
"execution_count": 185, |
|
|
3026 |
"metadata": {}, |
|
|
3027 |
"outputs": [ |
|
|
3028 |
{ |
|
|
3029 |
"data": { |
|
|
3030 |
"image/png": 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\n", |
|
|
3031 |
"text/plain": [ |
|
|
3032 |
"<Figure size 1152x576 with 1 Axes>" |
|
|
3033 |
] |
|
|
3034 |
}, |
|
|
3035 |
"metadata": {}, |
|
|
3036 |
"output_type": "display_data" |
|
|
3037 |
} |
|
|
3038 |
], |
|
|
3039 |
"source": [ |
|
|
3040 |
"plt.figure(figsize = (16, 8))\n", |
|
|
3041 |
"\n", |
|
|
3042 |
"aids=saps.saps2.loc[saps.ud==17]\n", |
|
|
3043 |
"malignancy=saps.saps2.loc[saps.ud==10]\n", |
|
|
3044 |
"metastatic=saps.saps2.loc[saps.ud==9]\n", |
|
|
3045 |
"\n", |
|
|
3046 |
"\n", |
|
|
3047 |
"_ = plt.hist(metastatic, bins=30, alpha=0.5, label='Chronic disease: Metastatic Cancer')\n", |
|
|
3048 |
"_ = plt.hist(malignancy, bins=30, alpha=0.5, label='Chronic disease: Hematologic malignancy')\n", |
|
|
3049 |
"_ = plt.hist(aids, bins=30, alpha=0.5, label='Chronic disease: Aids')\n", |
|
|
3050 |
"_ = plt.ylabel('Frequency')\n", |
|
|
3051 |
"_ = plt.xlabel('SAPSII Total Score')\n", |
|
|
3052 |
"_ = plt.legend()\n", |
|
|
3053 |
"_ = plt.axvline(np.mean(metastatic), color='b', linestyle=':')\n", |
|
|
3054 |
"_ = plt.axvline(np.mean(malignancy), color='r', linestyle=':')\n", |
|
|
3055 |
"_ = plt.axvline(np.mean(aids), color='g', linestyle=':')" |
|
|
3056 |
] |
|
|
3057 |
}, |
|
|
3058 |
{ |
|
|
3059 |
"cell_type": "code", |
|
|
3060 |
"execution_count": 39, |
|
|
3061 |
"metadata": {}, |
|
|
3062 |
"outputs": [ |
|
|
3063 |
{ |
|
|
3064 |
"data": { |
|
|
3065 |
"image/png": 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\n", |
|
|
3066 |
"text/plain": [ |
|
|
3067 |
"<Figure size 864x432 with 2 Axes>" |
|
|
3068 |
] |
|
|
3069 |
}, |
|
|
3070 |
"metadata": {}, |
|
|
3071 |
"output_type": "display_data" |
|
|
3072 |
} |
|
|
3073 |
], |
|
|
3074 |
"source": [ |
|
|
3075 |
"plt.figure(figsize=(12,6))\n", |
|
|
3076 |
"ax=sns.countplot(data=saps, x='ud', hue='hdeath')\n", |
|
|
3077 |
"ncount = len(saps)\n", |
|
|
3078 |
"ax2=ax.twinx()\n", |
|
|
3079 |
"ax2.yaxis.tick_left()\n", |
|
|
3080 |
"ax.yaxis.tick_right()\n", |
|
|
3081 |
"ax.yaxis.set_label_position('right')\n", |
|
|
3082 |
"ax2.yaxis.set_label_position('left')\n", |
|
|
3083 |
"ax2.set_ylabel('Frequency [%]')\n", |
|
|
3084 |
"\n", |
|
|
3085 |
"ax.set_xticklabels(ax.get_xticklabels(),rotation=45)\n", |
|
|
3086 |
"\n", |
|
|
3087 |
"for p in ax.patches:\n", |
|
|
3088 |
" x=p.get_bbox().get_points()[:,0]\n", |
|
|
3089 |
" y=p.get_bbox().get_points()[1,1]\n", |
|
|
3090 |
" ax.annotate('{:.1f}%'.format(100.*y/ncount), (x.mean(), y), \n", |
|
|
3091 |
" ha='center', va='bottom') # set the alignment of the text\n", |
|
|
3092 |
"\n", |
|
|
3093 |
"# Use a LinearLocator to ensure the correct number of ticks\n", |
|
|
3094 |
"ax.yaxis.set_major_locator(ticker.LinearLocator(11))\n", |
|
|
3095 |
"\n", |
|
|
3096 |
"# Fix the frequency range to 0-100\n", |
|
|
3097 |
"ax2.set_ylim(0,100)\n", |
|
|
3098 |
"ax.set_ylim(0,ncount)\n", |
|
|
3099 |
"ax.set_title('ICU Patients with Underlying Disease SAPSII Score')\n", |
|
|
3100 |
"# And use a MultipleLocator to ensure a tick spacing of 20\n", |
|
|
3101 |
"ax2.yaxis.set_major_locator(ticker.MultipleLocator(20))\n", |
|
|
3102 |
"\n", |
|
|
3103 |
"# Need to turn the grid on ax2 off, otherwise the gridlines end up on top of the bars\n", |
|
|
3104 |
"ax2.grid(None)\n" |
|
|
3105 |
] |
|
|
3106 |
}, |
|
|
3107 |
{ |
|
|
3108 |
"cell_type": "code", |
|
|
3109 |
"execution_count": 186, |
|
|
3110 |
"metadata": {}, |
|
|
3111 |
"outputs": [ |
|
|
3112 |
{ |
|
|
3113 |
"data": { |
|
|
3114 |
"image/png": 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\n", |
|
|
3115 |
"text/plain": [ |
|
|
3116 |
"<Figure size 864x432 with 1 Axes>" |
|
|
3117 |
] |
|
|
3118 |
}, |
|
|
3119 |
"metadata": {}, |
|
|
3120 |
"output_type": "display_data" |
|
|
3121 |
} |
|
|
3122 |
], |
|
|
3123 |
"source": [ |
|
|
3124 |
"plt.figure(figsize = (12, 6))\n", |
|
|
3125 |
"\n", |
|
|
3126 |
"sod=saps.saps2.loc[saps['Sodium_5.0']==1] \n", |
|
|
3127 |
"pot=saps.saps2.loc[saps['Potassium_3.0']==1]\n", |
|
|
3128 |
"bic=saps.saps2.loc[saps.Bicarbonate>0]\n", |
|
|
3129 |
"\n", |
|
|
3130 |
"_ = plt.hist(sod, bins=30, alpha=0.5, label='Blood Sodium level: Outside Normal')\n", |
|
|
3131 |
"_ = plt.hist(pot, bins=30, alpha=0.5, label='Blood Potassium level: Outside Normal')\n", |
|
|
3132 |
"_ = plt.hist(bic, bins=30, alpha=0.5, label='Blood Bicarbonate: Outside Normal')\n", |
|
|
3133 |
"_ = plt.xlabel('SAPSII Total Score')\n", |
|
|
3134 |
"_ = plt.ylabel('Frequency')\n", |
|
|
3135 |
"_ = plt.legend()\n", |
|
|
3136 |
"_ = plt.axvline(np.mean(sod), color='b', linestyle=':')\n", |
|
|
3137 |
"_ = plt.axvline(np.mean(pot), color='r', linestyle=':')\n", |
|
|
3138 |
"_ = plt.axvline(np.mean(bic), color='g', linestyle=':')" |
|
|
3139 |
] |
|
|
3140 |
}, |
|
|
3141 |
{ |
|
|
3142 |
"cell_type": "code", |
|
|
3143 |
"execution_count": 175, |
|
|
3144 |
"metadata": {}, |
|
|
3145 |
"outputs": [ |
|
|
3146 |
{ |
|
|
3147 |
"data": { |
|
|
3148 |
"image/png": 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\n", |
|
|
3149 |
"text/plain": [ |
|
|
3150 |
"<Figure size 864x432 with 1 Axes>" |
|
|
3151 |
] |
|
|
3152 |
}, |
|
|
3153 |
"metadata": {}, |
|
|
3154 |
"output_type": "display_data" |
|
|
3155 |
} |
|
|
3156 |
], |
|
|
3157 |
"source": [ |
|
|
3158 |
"plt.figure(figsize = (12, 6))\n", |
|
|
3159 |
"\n", |
|
|
3160 |
"hr11=saps.saps2.loc[saps['hr_11.0']==1] \n", |
|
|
3161 |
"bp13=saps.saps2.loc[saps['bp_13.0']==1]\n", |
|
|
3162 |
"bp5=saps.saps2.loc[saps['bp_5.0']==1]\n", |
|
|
3163 |
"\n", |
|
|
3164 |
"_ = plt.hist(hr11, bins=30, alpha=0.5, label='Heart Rate: Cardiac Attack')\n", |
|
|
3165 |
"_ = plt.hist(bp13, bins=30, alpha=0.5, label='Systolic Blood Presssure: Less than 70mmHg')\n", |
|
|
3166 |
"_ = plt.hist(bp5, bins=30, alpha=0.5, label='Systolic Blood Presssure: Less than 70-99mmHg')\n", |
|
|
3167 |
"_ = plt.xlabel('SAPSII Total Score')\n", |
|
|
3168 |
"_ = plt.ylabel('Frequency')\n", |
|
|
3169 |
"_ = plt.legend()\n", |
|
|
3170 |
"_ = plt.axvline(np.mean(hr11), color='b', linestyle=':')\n", |
|
|
3171 |
"_ = plt.axvline(np.mean(bp13), color='r', linestyle=':')\n", |
|
|
3172 |
"_ = plt.axvline(np.mean(bp5), color='g', linestyle=':')" |
|
|
3173 |
] |
|
|
3174 |
}, |
|
|
3175 |
{ |
|
|
3176 |
"cell_type": "code", |
|
|
3177 |
"execution_count": 44, |
|
|
3178 |
"metadata": {}, |
|
|
3179 |
"outputs": [ |
|
|
3180 |
{ |
|
|
3181 |
"data": { |
|
|
3182 |
"image/png": 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\n", |
|
|
3183 |
"text/plain": [ |
|
|
3184 |
"<Figure size 1440x576 with 2 Axes>" |
|
|
3185 |
] |
|
|
3186 |
}, |
|
|
3187 |
"metadata": {}, |
|
|
3188 |
"output_type": "display_data" |
|
|
3189 |
} |
|
|
3190 |
], |
|
|
3191 |
"source": [ |
|
|
3192 |
"plt.figure(figsize=(20,8))\n", |
|
|
3193 |
"ax=sns.countplot(data=saps, x='RELIGION', hue='hdeath')\n", |
|
|
3194 |
"ncount = len(saps)\n", |
|
|
3195 |
"ax2=ax.twinx()\n", |
|
|
3196 |
"ax2.yaxis.tick_left()\n", |
|
|
3197 |
"ax.yaxis.tick_right()\n", |
|
|
3198 |
"ax.yaxis.set_label_position('right')\n", |
|
|
3199 |
"ax2.yaxis.set_label_position('left')\n", |
|
|
3200 |
"ax2.set_ylabel('Frequency [%]')\n", |
|
|
3201 |
"\n", |
|
|
3202 |
"ax.set_xticklabels(ax.get_xticklabels(),rotation=45)\n", |
|
|
3203 |
"\n", |
|
|
3204 |
"for p in ax.patches:\n", |
|
|
3205 |
" x=p.get_bbox().get_points()[:,0]\n", |
|
|
3206 |
" y=p.get_bbox().get_points()[1,1]\n", |
|
|
3207 |
" # ax.annotate('{:.1f}%'.format(100.*y/ncount), (x.mean(), y), \n", |
|
|
3208 |
" #ha='center', va='bottom') # set the alignment of the text\n", |
|
|
3209 |
"\n", |
|
|
3210 |
"# Use a LinearLocator to ensure the correct number of ticks\n", |
|
|
3211 |
"ax.yaxis.set_major_locator(ticker.LinearLocator(11))\n", |
|
|
3212 |
"\n", |
|
|
3213 |
"# Fix the frequency range to 0-100\n", |
|
|
3214 |
"ax2.set_ylim(0,100)\n", |
|
|
3215 |
"ax.set_ylim(0,ncount)\n", |
|
|
3216 |
"ax.set_title('ICU Patient Religion and ICU mortality')\n", |
|
|
3217 |
"# And use a MultipleLocator to ensure a tick spacing of 20\n", |
|
|
3218 |
"ax2.yaxis.set_major_locator(ticker.MultipleLocator(20))\n", |
|
|
3219 |
"\n", |
|
|
3220 |
"# Need to turn the grid on ax2 off, otherwise the gridlines end up on top of the bars\n", |
|
|
3221 |
"ax2.grid(None)\n" |
|
|
3222 |
] |
|
|
3223 |
}, |
|
|
3224 |
{ |
|
|
3225 |
"cell_type": "code", |
|
|
3226 |
"execution_count": 41, |
|
|
3227 |
"metadata": {}, |
|
|
3228 |
"outputs": [ |
|
|
3229 |
{ |
|
|
3230 |
"data": { |
|
|
3231 |
"image/png": 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\n", |
|
|
3232 |
"text/plain": [ |
|
|
3233 |
"<Figure size 1440x576 with 2 Axes>" |
|
|
3234 |
] |
|
|
3235 |
}, |
|
|
3236 |
"metadata": {}, |
|
|
3237 |
"output_type": "display_data" |
|
|
3238 |
} |
|
|
3239 |
], |
|
|
3240 |
"source": [ |
|
|
3241 |
"plt.figure(figsize=(20,8))\n", |
|
|
3242 |
"ax=sns.countplot(data=saps, x='MARITAL_STATUS', hue='hdeath')\n", |
|
|
3243 |
"ncount = len(saps)\n", |
|
|
3244 |
"ax2=ax.twinx()\n", |
|
|
3245 |
"ax2.yaxis.tick_left()\n", |
|
|
3246 |
"ax.yaxis.tick_right()\n", |
|
|
3247 |
"ax.yaxis.set_label_position('right')\n", |
|
|
3248 |
"ax2.yaxis.set_label_position('left')\n", |
|
|
3249 |
"ax2.set_ylabel('Frequency [%]')\n", |
|
|
3250 |
"\n", |
|
|
3251 |
"ax.set_xticklabels(ax.get_xticklabels(),rotation=45)\n", |
|
|
3252 |
"\n", |
|
|
3253 |
"for p in ax.patches:\n", |
|
|
3254 |
" x=p.get_bbox().get_points()[:,0]\n", |
|
|
3255 |
" y=p.get_bbox().get_points()[1,1]\n", |
|
|
3256 |
" ax.annotate('{:.1f}%'.format(100.*y/ncount), (x.mean(), y), \n", |
|
|
3257 |
" ha='center', va='bottom') # set the alignment of the text\n", |
|
|
3258 |
"\n", |
|
|
3259 |
"# Use a LinearLocator to ensure the correct number of ticks\n", |
|
|
3260 |
"ax.yaxis.set_major_locator(ticker.LinearLocator(11))\n", |
|
|
3261 |
"\n", |
|
|
3262 |
"# Fix the frequency range to 0-100\n", |
|
|
3263 |
"ax2.set_ylim(0,100)\n", |
|
|
3264 |
"ax.set_ylim(0,ncount)\n", |
|
|
3265 |
"ax.set_title('ICU Patients Marital Status and ICU mortality')\n", |
|
|
3266 |
"# And use a MultipleLocator to ensure a tick spacing of 20\n", |
|
|
3267 |
"ax2.yaxis.set_major_locator(ticker.MultipleLocator(20))\n", |
|
|
3268 |
"\n", |
|
|
3269 |
"# Need to turn the grid on ax2 off, otherwise the gridlines end up on top of the bars\n", |
|
|
3270 |
"ax2.grid(None)\n" |
|
|
3271 |
] |
|
|
3272 |
}, |
|
|
3273 |
{ |
|
|
3274 |
"cell_type": "code", |
|
|
3275 |
"execution_count": 79, |
|
|
3276 |
"metadata": {}, |
|
|
3277 |
"outputs": [ |
|
|
3278 |
{ |
|
|
3279 |
"data": { |
|
|
3280 |
"image/png": 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\n", |
|
|
3281 |
"text/plain": [ |
|
|
3282 |
"<Figure size 1152x576 with 2 Axes>" |
|
|
3283 |
] |
|
|
3284 |
}, |
|
|
3285 |
"metadata": {}, |
|
|
3286 |
"output_type": "display_data" |
|
|
3287 |
} |
|
|
3288 |
], |
|
|
3289 |
"source": [ |
|
|
3290 |
"plt.figure(figsize=(16,8))\n", |
|
|
3291 |
"ax=sns.countplot(data=saps, x='ETHNICITY', hue='hdeath')\n", |
|
|
3292 |
"ncount = len(saps)\n", |
|
|
3293 |
"ax2=ax.twinx()\n", |
|
|
3294 |
"ax2.yaxis.tick_left()\n", |
|
|
3295 |
"ax.yaxis.tick_right()\n", |
|
|
3296 |
"ax.yaxis.set_label_position('right')\n", |
|
|
3297 |
"ax2.yaxis.set_label_position('left')\n", |
|
|
3298 |
"ax2.set_ylabel('Frequency [%]')\n", |
|
|
3299 |
"\n", |
|
|
3300 |
"ax.set_xticklabels(ax.get_xticklabels(),rotation=45)\n", |
|
|
3301 |
"\n", |
|
|
3302 |
"for p in ax.patches:\n", |
|
|
3303 |
" x=p.get_bbox().get_points()[:,0]\n", |
|
|
3304 |
" y=p.get_bbox().get_points()[1,1]\n", |
|
|
3305 |
" ax.annotate('{:.1f}%'.format(100.*y/ncount), (x.mean(), y), \n", |
|
|
3306 |
" ha='center', va='bottom') # set the alignment of the text\n", |
|
|
3307 |
"\n", |
|
|
3308 |
"# Use a LinearLocator to ensure the correct number of ticks\n", |
|
|
3309 |
"ax.yaxis.set_major_locator(ticker.LinearLocator(11))\n", |
|
|
3310 |
"\n", |
|
|
3311 |
"# Fix the frequency range to 0-100\n", |
|
|
3312 |
"ax2.set_ylim(0,100)\n", |
|
|
3313 |
"ax.set_ylim(0,ncount)\n", |
|
|
3314 |
"ax.set_title('ICU Patient Ethnicity and ICU mortality')\n", |
|
|
3315 |
"# And use a MultipleLocator to ensure a tick spacing of 20\n", |
|
|
3316 |
"ax2.yaxis.set_major_locator(ticker.MultipleLocator(20))\n", |
|
|
3317 |
"\n", |
|
|
3318 |
"# Need to turn the grid on ax2 off, otherwise the gridlines end up on top of the bars\n", |
|
|
3319 |
"ax2.grid(None)\n" |
|
|
3320 |
] |
|
|
3321 |
}, |
|
|
3322 |
{ |
|
|
3323 |
"cell_type": "code", |
|
|
3324 |
"execution_count": 45, |
|
|
3325 |
"metadata": {}, |
|
|
3326 |
"outputs": [ |
|
|
3327 |
{ |
|
|
3328 |
"data": { |
|
|
3329 |
"image/png": 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\n", |
|
|
3330 |
"text/plain": [ |
|
|
3331 |
"<Figure size 1440x576 with 2 Axes>" |
|
|
3332 |
] |
|
|
3333 |
}, |
|
|
3334 |
"metadata": {}, |
|
|
3335 |
"output_type": "display_data" |
|
|
3336 |
} |
|
|
3337 |
], |
|
|
3338 |
"source": [ |
|
|
3339 |
"plt.figure(figsize=(20,8))\n", |
|
|
3340 |
"ax=sns.countplot(data=saps, x='INSURANCE', hue='hdeath')\n", |
|
|
3341 |
"ncount = len(saps)\n", |
|
|
3342 |
"ax2=ax.twinx()\n", |
|
|
3343 |
"ax2.yaxis.tick_left()\n", |
|
|
3344 |
"ax.yaxis.tick_right()\n", |
|
|
3345 |
"ax.yaxis.set_label_position('right')\n", |
|
|
3346 |
"ax2.yaxis.set_label_position('left')\n", |
|
|
3347 |
"ax2.set_ylabel('Frequency [%]')\n", |
|
|
3348 |
"\n", |
|
|
3349 |
"ax.set_xticklabels(ax.get_xticklabels(),rotation=45)\n", |
|
|
3350 |
"\n", |
|
|
3351 |
"for p in ax.patches:\n", |
|
|
3352 |
" x=p.get_bbox().get_points()[:,0]\n", |
|
|
3353 |
" y=p.get_bbox().get_points()[1,1]\n", |
|
|
3354 |
" ax.annotate('{:.1f}%'.format(100.*y/ncount), (x.mean(), y), \n", |
|
|
3355 |
" ha='center', va='bottom') # set the alignment of the text\n", |
|
|
3356 |
"\n", |
|
|
3357 |
"# Use a LinearLocator to ensure the correct number of ticks\n", |
|
|
3358 |
"ax.yaxis.set_major_locator(ticker.LinearLocator(11))\n", |
|
|
3359 |
"\n", |
|
|
3360 |
"# Fix the frequency range to 0-100\n", |
|
|
3361 |
"ax2.set_ylim(0,100)\n", |
|
|
3362 |
"ax.set_ylim(0,ncount)\n", |
|
|
3363 |
"ax.set_title('ICU Patient Insurance Type and ICU mortality')\n", |
|
|
3364 |
"# And use a MultipleLocator to ensure a tick spacing of 20\n", |
|
|
3365 |
"ax2.yaxis.set_major_locator(ticker.MultipleLocator(20))\n", |
|
|
3366 |
"\n", |
|
|
3367 |
"# Need to turn the grid on ax2 off, otherwise the gridlines end up on top of the bars\n", |
|
|
3368 |
"ax2.grid(None)\n" |
|
|
3369 |
] |
|
|
3370 |
}, |
|
|
3371 |
{ |
|
|
3372 |
"cell_type": "markdown", |
|
|
3373 |
"metadata": {}, |
|
|
3374 |
"source": [ |
|
|
3375 |
"## Results 3: \n", |
|
|
3376 |
"### Distributions and Comparisions \n", |
|
|
3377 |
"\n", |
|
|
3378 |
"+ ICU patients distributed towards higher SAPSII total score. Majority proportion of ICU patients with a total SAPSII score of 70 and above have deceased. \n", |
|
|
3379 |
"+ The percentile of score cumulative distribution shows after SAPSII total score of 30,the percentile of ICU patients increased faster platuing at SAPSII total score of 80. \n", |
|
|
3380 |
"+ There is an overlaping normal distribution of SAPSII total score between female and male ICU patients, showing no distirbutional diffrence between male and female ICU patients' SAPSII total score. \n", |
|
|
3381 |
"+ Patients with underlying disease are distributed to the right of the SAPSII total score scale. In other words, those with prexisting chronic diesaes had higher SAPSII score. \n", |
|
|
3382 |
"+ Metastatic cancer is the most common underlying chronic disease among ICU patients in this study. \n", |
|
|
3383 |
"+ The distribution of outside normal blood bicarbonate level picked after SAPSII score of 40 and continued to stay high, showing strong relationship with hospital death. The distribution of outside normal blood sodium and blood potassium level picked up at early SAPSII score of 30 showing the prevalence of abnormal sodium and potassium level is common among ICU patients and may have little contribution to the classification of surviving and deceased ICU patients in this study. \n", |
|
|
3384 |
"+ Population of ICU patients with extreme heart rate (experianced cardiac arrest) are distributed to the extreme right of SAPSII total score, the majority scoring an average of 75 in their SAPSII score\n", |
|
|
3385 |
"+ There is 'no' diffrence in the distribution of hospital death by religion denomination. Majority of the ICU patients are member of the catholic church. \n", |
|
|
3386 |
"+ also the distribution of hospital death is proportional to patients' marital status and ethinicity. \n", |
|
|
3387 |
"+ We observe distribution of high hospital death among medicare insurance holders, here the key player is likely age and underlying diease, not insurance type. Generally, Medicare is available for people age 65 or older, younger people with disabilities and people with End Stage Renal Disease (permanent kidney failure requiring dialysis or transplant). " |
|
|
3388 |
] |
|
|
3389 |
}, |
|
|
3390 |
{ |
|
|
3391 |
"cell_type": "markdown", |
|
|
3392 |
"metadata": {}, |
|
|
3393 |
"source": [ |
|
|
3394 |
"## 4. Regressions " |
|
|
3395 |
] |
|
|
3396 |
}, |
|
|
3397 |
{ |
|
|
3398 |
"cell_type": "code", |
|
|
3399 |
"execution_count": 179, |
|
|
3400 |
"metadata": {}, |
|
|
3401 |
"outputs": [ |
|
|
3402 |
{ |
|
|
3403 |
"data": { |
|
|
3404 |
"image/png": 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ia9eu7N+//6TvraTO9aNHj+aFF16gc+fO2O12PB4P119/PaNGjWLlypV4vV46depU7DX33Xcfc+bMYfXq1ae8rtOmTeP555+nbdu2vs7Zbdq0KXYL9mxNnTqVcePGMX/+fAoKCnzDVkDR026DBw/m6aefpnfv3nTp0oXQ0FBiY2O5+uqr2b1799+uyXFVqlThzTffZOrUqTz77LOEhobicDgYMGAA1157LVDUYjh06FAKCwtxuVxMnjyZ+Ph4nnzySfr3709hYSGhoaHMmjXLd7vsz+644w6Sk5N9T5DWqFHjhMMi9O7dm9GjR/Pee+8BRa1Sx4PKyVx22WW+zubh4eFcddVVpbqe1113HWPHjmXcuHHk5OSQn59PrVq1ij0J/NRTT/Hcc8/RsWNHX0ta165d6dKlyxldx8GDB9O7d28iIyNp27ZtifU1aNAAr9dLYmIidrv9hPv06NGDrl27+jrPR0ZGnvbnL+IvJkNtrSKlNnPmTG655Rbi4+Nxu9107tyZ1157jdq1awe7NBEROQ+oxUvkNFx00UUMGjQIs9lMYWEhffv2VegSEZFSU4uXiIiISICoc72IiIhIgCh4iYiIiATIedHH67rrriMuLi7YZYiIiIic0v79+9mwYcMJt50XwSsuLs43dpKIiIhIWda1a9eTbtOtRhEREZEAUfASERERCRAFLxEREZEAUfASERERCRAFLxEREZEAUfASERERCRAFLxEREZEAUfASERERCRAFLxEREZEAUfASERERCRAFLxEREZEAUfASERERCRAFLxEREZEAUfASERERCRAFLxEREZEAUfASERGRcmn5ruUkvpvIil0rgl2KjzXYBYiIiIj4w9jVY1m7Zy3ufDcJlyQEuxxALV4iIiJSTrnz3MV+lgUKXiIiIiIBouAlIiIi5Y47z82RnCMAHMk5UmZavRS8REREpFxZu2ctcVPjOHDsAAAHjh0gbmoca/esDXJlCl4iIiJSjrjz3CS+m4g7340XLwBevLjzi9Zn5mcGtT4FLxERESk35v48F6/hPeE2r+Fl7pa5Aa6oOAUvERERKTe2H9lOVkHWCbdlFWSxI21HgCsqTsFLREREyo06UXUIt4WfcFu4LZzakbUDXFFxCl4iIiJSbiRdnoTZdOJ4YzaZSboiKcAV/aWGoJ5dRERE5BxyOVx82utTXHYX5v/GHDNmXPai9U67M6j1KXiJiIhIudKsZjMODDlAXEQcAHERcRwYcoBmNZsFuTIFLxERESmHnHYnkaGRAESGRga9pes4BS8RERGRAFHwEhEREQkQBS8RERGRAFHwEhERkXLJ5XAV+1kWKHiJiIhIuTSm5Rja127PmJZjgl2KjzXYBYiIiIj4Q8IlCSRckhDsMopRi5eIiIhIgCh4iYiIiASIgpeIiIhIgCh4iYiIiASIgpeIiIhIgCh4iYiIiASIgpeIiIhIgCh4iYiIiASIgpeIiIhIgCh4iYiIiASIgpeIiIhIgCh4iYiIiASIX4KX1+tl1KhRJCUlcffdd7N79+4T7tOnTx/+85//+KMEERERkTLHL8Fr+fLl5OfnM3fuXIYMGcLEiRP/ts+LL75IRkaGP04vIiIiUib5JXht2rSJ5s2bA9CwYUO2bNlSbPvnn3+OyWSiRYsW/ji9iIiISJnkl+CVmZmJ0+n0LVssFjweDwDbtm1j0aJFPProo/44tYiIiEiZZfXHQZ1OJ1lZWb5lr9eL1Vp0qoULF3L48GHuvfde9u/fj81mIy4uTq1fIiIiUu75JXg1atSIlStXkpiYyObNm6lbt65v27Bhw3y/z5gxg6pVqyp0iYiISIXgl+DVpk0b1q1bR8+ePTEMgwkTJjB79mxq1qxJQkKCP04pIiIiUub5JXiZzWbGjRtXbF18fPzf9nvkkUf8cXoRERGRMkkDqIqIiIgEiIKXiIiISIAoeImIiIgEiIKXiIiISIAoeImIiIgEiIKXiIiISIAoeImIiIicQ17De9JtCl4iIiIi50h6bjqGYZx0u4KXiIiIyDmQX5jPkewjJe6j4CUiIiJyDqRkpVBoFJa4j4KXiIiIyFlKz00nqyCL/2z5T4n7KXiJiIiInIXjtxg/3/E5Y1aNKXFfBS8RERGRs5CSlcLhrMOnDF2g4CUiIiJyxjJyM8jKz2L0qtEczT2Ky+4qcX8FLxEREZEzkF+YT2p2Kh9t+4jlu5YD8FTLp0p8jYKXiIiIyBlIyUphv3s/T69+GoA2l7Shc93OJb5GwUtERETkNKXnppOZn8kTXzyBO99NlZAqjL1pLCaTqcTXKXiJiIiInIY8Tx5Hso8w7+d5rN2zFoAxN40hKizqlK9V8BIREREpJcMwSMlK4Y+MP5i4biIAHet2pF3tdgCYTWbMppPHKwUvERERkVJKz00nsyCTx5c/TnZBNtFh0TzV4n8d6iNDI0u83ajgJSIiIlIKeZ480nLSeGvzW3xz4BsAxrcaT+WQygCEWcOoElKlxGMoeImIiIicwvFbjL8d+Y2p66cC0KN+D2666CYALCYL0eHR6lwvIiIicraO5h4lIy+DYcuGkV+YzwURFzC82XAATJioGlYVh9VxyuMoeImIiIiUINeTS1pOGjO/ncnPKT9jwsRzrZ/DaXcCEG4Lp1JIpVIdS8FLRERE5CSO32LcfGgzs76dBcD9V99P4xqNAbCarUSHR5f6eApeIiIiIieRlpPG0dyjDFs2jEKjkDqRdRh43UCg6BZjdFg0Nout1MdT8BIRERE5gdyCXI7mHmXK11P4Pf13rGYrk9pM8vXlinBE4HKUPCn2Xyl4iYiIiPyF1/CSnJXMur3rmPPDHAAGXDuA+tH1AbCb7VQNq3rax1XwEhEREfmLtOw0krOTGbF8BAANYhrQt1FfoOgWY7XwaljMltM+roKXiIiIyJ9k52dzNPco41aP41DmIUKtoUxqMwmr2QpAlZAqhNnDzujYCl4iIiIi/1XoLSQlO4XF2xfzybZPABjRbAQXVb4IgBBLCJFhkWd8fAUvERERkf86kn2EPRl7GLNqDAAta7Uk6fIkoGgC7Grh1UqcBPtUFLxEREREgMy8TI7mHmXkipFk5GVQOaQyz7R6xjcNUGRoJCG2kLM6h4KXiIiIVHger4fU7FTe/eld1u1dB8DTNz/tGxy1NBNgl4aCl4iIiFR4KVkpbD2ylUnrJgHQ9dKu3BJ/C1A0AXY1Z7VTToBdGgpeIiIiUqEdyztGWk4aQ5cOJa8wjzhXHE+0eAL47+j04dHYLfZzci4FLxEREamw8gvzSclK4aVvXjrhBNguu4sIR8Q5O5+Cl4iIiFRIxyfA3rB/A69segWAvo360iSuCVA0Ov3pTIBdGgpeIiIiUiEdzT3KocxDDFs2DAODy6Mv55HrHgHObnT6kih4iYiISIWTW5BLWk4a49aMY797PyHWEJ6/5XlfX66zGZ2+JApeIiIiUqEcnwD7k98+4ePfPgZgeNPhxFeJByDUGkpUWJRfzq3gJSIiIhXKkewj7ErfxehVowG4qdZN3HHFHcB/h44IPzdDR5yIgpeIiIhUGFn5WRzJPsLwZcNx57uJDI3kmYSi0elNmIgKi8Jhdfjt/ApeIiIiUiF4vB5SslJ4/fvX+ebANwBMaDWBqmFVAXDanVQOqezXGhS8REREpEJIyUph08FNTNswDYCeV/Tk5otvBvwzdMSJKHiJiIhIuZeRm8HhzMM8tvQxPF4P8VXiGdF0BPC/0emtZqvf61DwEhERkXItz5NHanYq478czx8Zf2Az25hyyxRCbaEARIZGEm4PD0gtCl4iIiJSbh0fnX7x9sUs2LoAgMdufIzLoi8DioaOiAyNDFg9Cl4iIiJSbqXlpLHz6E6eWvkUAM0ubMY9De4B/D90xIkoeImIiEi5lJ2fTUpWCkOXDeVY3jGqhFTh2dbPYjaZff26/Dl0xIkoeImIiEi5U+gtJDkrmVe/e5WNBzYC8GzCs1QLrwaAy+4iwhER8LoUvERERKTcSclKYeOBjUzfMB2AXlf28g0d4bA4AjJ0xIkoeImIiEi5cizvGAfcBxi8dDCFRiF1IuswrOkwAMwmM9XCq2ExW4JSm4KXiIiIlBv5hfkkZyYzatUo9h3bh8PiYGrbqYRYQ4CioSOODyMRDApeIiIiUi4YhkFyZjLzf5nP4u2LARjZfCR1o+oCEG4Lp0pIlWCWqOAlIiIi5UNaThpbUrbw9JqnAWhzSRt6Xt4TAKvZGvChI05EwUtERETOe9n52RzKPMTgJYPJ8eQQ64xlfKvxmEwmTJioFlYNm8UW7DIVvEREROT85vF6SM5K5vmvnmdr6lbMJjOTb5lM5ZDKAFQOqYzT4QxylUUUvEREROS8lpKVwtJdS3nrh7cA6N+kP41rNAaKpgSKCosKZnnFKHiJiIjIeSs9N50daTsYsXwEAI1rNObBxg8C/5sSyGwqO3Gn7FQiIiIichpyPbkczjzMkKVDOJp7lMqOykxuMxmr2VrUryu8WsCnBDoVBS8RERE573gNL8mZycz4ZoZvSqAJrScQ64oFoJKjEi6HK5glnpCCl4iIiJx3jmQfYeXulby88WUA7m1wLwkXJwAQYgmhanjVYJZ3UgpeIiIicl5x57nZmbaToUuHYmBwefTlPHbjY8B/+3U5y1a/rj8rm1WJiIiInEB+YT6Hsw4zdPlQUrJTCLeF82K7F7Fb7JgwUTWsqm96oLJIwUtERETOC8enBJr17SzW7lkLwPhW46lZqSYAEY4IKoVUCmaJp6TgJSIiIueFtJw01u1dx4vrXwSgR/0eJNZJBP7bryusbPbr+jMFLxERESnzsvKz2Jm2k0FLBlFoFFInsg6PN38c+F+/LovZEuQqT03BS0RERMo0j9fD4czDDF8+nIOZBwmzhTGt3TRCbaHnRb+uP1PwEhERkTLreL+umZtmsmr3KgDG3DSG+Mh44Pzo1/VnfgleXq+XUaNGkZSUxN13383u3buLbX/33Xe5/fbb6datGytXrvRHCSIiIlIOHM09yqrdq3jh6xcA6F6/O13qdQGK+nVFh0cHs7zTZvXHQZcvX05+fj5z585l8+bNTJw4kZkzZwKQlpbGv//9bxYuXEheXh4dOnTgpptuwmQy+aMUEREROU9l52ez/ch2Bi8ZTKFRSN2oujzZ4kmg7I/XdTJ+qXbTpk00b94cgIYNG7JlyxbftsjISD766CNsNhupqalEREQodImIiEgxHq+HQ5mHGLpsKIezDvv6dYVYQzBhIjo8+rzp1/VnfglemZmZOJ1O37LFYsHj8fiWrVYr77zzDklJSbRt29YfJYiIiMh56ni/rn9u/Cdf7vkSgKdvfppLqlwCFM3DGOGICGaJZ8wvwcvpdJKVleVb9nq9WK3F72reddddfPnll2zcuJH169f7owwRERE5D6XlpPHFH1/w4oai8bqSLk+iY92OAIRaQ8vsPIyl4Zfg1ahRI9asWQPA5s2bqVu3rm/brl27GDBgAIZhYLPZsNvtmM3n1/1ZERER8Y+s/Cx+Tf2VQUsG4TW8XFb1Mp5o/gQAVrOVGGfMedev68/80rm+TZs2rFu3jp49e2IYBhMmTGD27NnUrFmThIQELr30UpKSkjCZTDRv3pxrr73WH2WIiIjIeaSgsIAD7gMMWjKI1OxUXHYX09tPx2F1YMJEtbBq2C32YJd5VvwSvMxmM+PGjSu2Lj4+3vf7gAEDGDBggD9OLSIiIuchwzBIzkpm0leT2HhgIwATW0/0zcMYGRqJ0+Es6RDnhfO3rU5ERETKjbScND767SNe/+51APo06kPrS1oDEG4LJzI0MpjlnTMKXiIiIhJU7jw3mw9tZsTyEQA0qdGEQdcPAsButhPjjCk3Q08peImIiEjQ5Hny2JOxh0c+ewR3vpuqYVWZ2nYqVrMVs8lMjDMGq9kvPaOCQsFLREREgsJreEnOSmbM6jFsTd2K2WRm6i1TqRZezTf5dagtNNhlnlMKXiIiIhIUKVkpzPlhDu//8j4Ag64fxHUXXAcUTX5dOaRyMMvzCwUvERERCbiM3AzW7lnL2NVjAUi4OIE+jfoARYOknm+TX5eWgpeIiIgEVG5BLtuObOP/Pv8/CrwFXFTpIp5r/aI8iIkAACAASURBVBxmk7lcDJJakvL5rkRERKRM8ng9vkFSD7gPEGoNZUbiDFwOV7kZJLUkCl4iIiISEMcnv37+q+dZt3cdAM+0eoa6UUVTC5aXQVJLouAlIiIiAZGWk8bC3xYya9MsAO5tcC8d6nYAwGlzlptBUkui4CUiIiJ+l5mXyXcHv2P48uEANK7RmKE3DgXAYXGUq0FSS6LgJSIiIn6V58lj59GdPPzpw2TmZxIdFs2LbV/EZrFhMVmIccZgMVuCXWZAKHiJiIiI33gNL4fchxi2bBg70nZgM9uY3n460eHRRZ3pw6sRYg0JdpkBo+AlIiIifpOSlcK0b6axdNdSAJ5s8SSNYhsBRZ3pXQ5XMMsLOAUvERER8Yv03HQ+/u1jXlz/IgDd63cn6fIkoOJ0pv8rBS8RERE557Lzs9l0YBNDlg7BwKBBTANGtRyFyWSqUJ3p/0rBS0RERM6pgsICdh3dxUOLH8Kd7yY6LJoZ7Wdgt9grXGf6v1LwEhERkXPGMAwOuQ/x2LLH2J62HavZyrT204pauCpgZ/q/UvASERGRcyYlK4Up66ewZOcSAJ5o/gTXxF4DVMzO9H+l4CUiIiLnREZuBgu2LmDahmlAUWf6O664AwCX3VUhO9P/lYKXiIiInLWcghy+2vsVjy17DIBGsY18nelDLCFUC69WITvT/5WCl4iIiJwVj9fDrym/0m9RP7ILsol1xqoz/UkoeImIiMgZMwyDfRn76P9Zf/Ye20uINYR/Jv6TqmFVMWEiJjwGh9UR7DLLDAUvEREROWMpWSmMXj2ar/d9DcCzCc9yebXLMWEiKiwKp8MZ5ArLFgUvEREROSPpuen86/t/MeeHOQD0u6YfiXUSAYhwRKgz/QkoeImIiMhpy87P5rPtnzF61WgAbqp1E49e9ygAYdYwosOjg1lemaXgJSIiIqclvzCfjQc20v/T/hR4C6gdWZspbadgMVuwm+1Ud1XHbFLEOBFdFRERESk1r+Flx5Ed9P2kL0dzj1I5pDKzOszCaXdiMVmo7qqO1WwNdpllloKXiIiIlNrBYwd5+NOH2Z62HZvZxkvtX+LCShf6nmCsyNMBlYaCl4iIiJTKkewjjFo1itW7VwMw+qbRNIlroicYT4OCl4iIiJySO8/Nq5te5Y3NbwBwf8P76V6/OwCVHJX0BGMpKXiJiIhIiXILcvlk2ye+Jxhb1mrJ0BuHAhBuC9cTjKdBwUtEREROqqCwgK/2fsXDix/2PcE4te1ULGYLIZYQqjuraw7G06DgJSIiIifkNbz8mvIr//j4H2TkZRAVGsUrHV/BaXdiNVup7qquORhPk4KXiIiInNDe9L3845N/sDtjNw6Lg5c7vMwFERdgMVmIdcZit9iDXeJ5R8FLRERE/iY1K5WBSwby7YFvAZjYeiINqzfEhIlq4dUItYUGucLzk4KXiIiIFOPOc/PMl8+w8LeFAAy6fpBvDsbI0EhcDlcwyzuvKXiJiIiIT3Z+Nm98/wYvbngRgK6XdqXfNf2AomEjosKiglneeU/BS0RERADI8+SxaPsihi4rGiri2rhrGXvzWEwmE+G2cKqFVwtyhec/BS8RERGh0FvIV3u/ot8n/SjwFnBx5YuZ0X4Gdotdw0acQwpeIiIiFZxhGGxJ3sI9C+8hPS+dqNAoXuv0GpVDKmM32zVsxDmk4CUiIlLB7U7fzT0L72HfsX2EWEOY1XEWF1a6EIvJQnVXdQ0bcQ4peImIiFRgyZnJ9F3Ulx8P/4jZZGZq26lcFXMVJkxUd1YnxBoS7BLLFQUvERGRCupY3jGGLhvK8l3LAXiy+ZMkXJzgG6sr3B4e5ArLH2tpdnrppZd45513sFr/t/vatWv9VpSIiIj4V3Z+Ns+tfY45P84B4B8N/0Gvq3phwkRkaCSVQioFucLyqVTBa+XKlaxatYqQEDU3ioiInO/yPHm89v1rTFg7AYC28W0Z2rRoCAmN1eVfpbrVGBUVVay1S0RERM5PHq+HBb8sYOjSoqDVuEZjnm/zPGaTGZfdRXR4dJArLN9KTFODBw/GZDKRmprKbbfdRp06dXxjeEyZMiUgBYqIiMi54TW8LN+5nAcWPUCBt4A6kXV4OfFlHFYHYdYwYpwxGqvLz0oMXj179gxUHSIiIuJHhmHw7f5vuWfhPWQVZFHdWZ3XOr1GpZBKRQOkuqpjNumZO38r8Qpfc801NGzYkDlz5nD11VfTsGFDrrrqKl566aVA1SciIiLnwK8pv9JzQU9SslOIcETweqfXiXXF+gZItZrVpSgQSrzKCxYsYNasWaSmptKuXTsMw8BisXDNNdcEqj4RERE5S7uP7ubOD+7k9/TfsVvszOwwkzpRdbCarRogNcBKDF49evSgR48evP/++3Tr1i1QNYmIiMg5kpyZzD0f3cPmw5sxYWLKLVNoXKNx0aj04RogNdBK1a7YpEkTXnnlFQoKCgBITk5m3Lhxfi1MREREzk56bjp9PunDmt1rABjVchS3xN+CCRMx4TGE2cOCXGHFU6pedMOHDwfgu+++Y9++faSnp/u1KBERETk77lw3j37+KJ9s+wSAR659hDuvvLModDljcDqcQa6wYipV8AoJCaFfv37ExMQwceJEUlNT/V2XiIiInKGcghzGrB7DnB+KRqW/68q76N+kPyZMRIVFEeGICHKFFVepgpdhGKSkpJCVlUV2djYZGRn+rktERETOQK4nlylfT2Hq+qkAdKjTgSdaPIHJZKJKSBUiQyODXGHFVqrgNWDAAJYtW0aXLl1ISEigRYsW/q5LRERETlOeJ483vnuDUStHAdCsZjMmtp6I2WSmsqMyVcOrBrlCKXXn+ssuu4z9+/ezfPlywsM1W7mIiEhZUlBYwNyf5zJwyUAMDBrENGBG+xnYLXYi7BGaCqiMKFXwWrJkCTNnzqSwsJB27dphMpl4+OGH/V2biIiIlILH6+HjXz+m36J+vqmAXun4CmG2MJw2p6YCKkNKdatx9uzZzJs3j8qVK/Pwww+zfPlyf9clIiIipVDoLWTZzmXc9/F95HpyuTDiQt7o8gZVQqsQZg2juqu6QlcZUqrgZTabsdvtmEwmTCYToaGh/q5LRERETsFrePly95f0+qAXmfmZxITHMPvW2VQLr0aoNZRYV6zmXyxjSvVpNG7cmMGDB3P48GFGjRrFlVde6e+6REREpASGYbBx/0aSFiRxNPcoVUKqMPvW2VwYcSEhlhBiXbFYzJZglyl/Uao+XoMHD2bNmjXUr1+f+Ph4br75Zn/XJSIiIidhGAY/HPqB7vO7k5yVjNPu5F+d/0V8lXgcFgexrlhNel1GlfipLFy4sNhy1apVycjIYOHChdx6661+LUxERERO7JeUX+g2vxt7j+0lxBrCKx1f4fJql2M324l1xWKz2IJdopxEicFr586dAGzevJnQ0FCuvvpqfvrpJzwej4KXiIhIEPyW+htd53Vl59Gd2Mw2/pn4TxrXaIzVbCXWFYvdYg92iVKCEoPXkCFDAOjduzevvvqqb/0//vEP/1YlIiIif7MrbRfd5nVj25FtWM1WprefTrOazbCardRw1sBhdQS7RDmFUnWuT0tL49ixY77fNUm2iIhIYO1O3023+d3YkrIFs8nMlFum0OriVlhMFmKdsYTYQoJdopRCqXrePfTQQ3Tr1g2n04nb7ebZZ5/1d10iIiLyX/uP7af7/O58f+h7TJh4rvVztKvdzhe6Qm0a5ul8UaoWr/T0dGw2Gzt37iQ/P5/hw4f7uy4REREBDroPkvR+EhsPbARgfKvxdK7XGYvJQnVndcLsYUGuUE5HqVq83nvvPV599VWio0s3z5PX62XMmDH89ttv2O12xo8fT61atXzb33zzTRYvXgxAy5YtGTBgwBmULiIiUr4dyjxE0vtJrNu7DoBRLUfRrX43zCYzMeExhNs1d/L5plQtXlWqVCEuLg673e77ryTLly8nPz+fuXPnMmTIECZOnOjbtnfvXj7++GPee+895s6dy9q1a/n111/P7l2IiIiUM4czD9Njfg++3PMlACObjaTXlb18ocvpcAa5QjkTJbZ4TZ06FYD8/Hx69+5N/fr1ffM9DR48+KSv27RpE82bNwegYcOGbNmyxbetevXqvP7661gsRaPpejweHA49hSEiInJccmYySe8nFQtd9zW8DxMmYsJjcDlcQa5QzlSJweviiy8u9rO0MjMzcTr/l8QtFgsejwer1YrNZiMyMhLDMJg0aRL169c/7eOLiIiUVylZKSS9n8Tq3asBGNF0xP9Cl1Oh63xXYvC67bbbzuigTqeTrKws37LX68Vq/d+p8vLyePzxxwkPD2f06NFndA4REZHyJjkzmZ4LerJq9yoAht04jPuvvh8TJqo7qyt0lQN+mbK8UaNGrFmzBiga9b5u3bq+bYZh8PDDD1OvXj3GjRvnu+UoIiJSkSVnJnPHgjtY+cdKAB678TF6N+qt0FXO+GUGzTZt2rBu3Tp69uyJYRhMmDCB2bNnU7NmTbxeL9988w35+fl8+WXRvevBgwdz9dVX+6MUERGRMu9w5mF6vN+DNbuLGi2G3DCEvo366vZiOeSX4GU2mxk3blyxdfHx8b7ff/rpJ3+cVkRE5LxzwH2AHvN7+IaMGHrjUPo06uN7elGhq3zxS/ASERGRU9t3bB/d5nVjw/4NADze/HHubXCvQlc5puAlIiISBHvS99B1Xlc2HdwEFA2O+udxuhS6yicFLxERkQD7I/0Pus7t6pt7cdzN4+hxeQ8sJosGRy3nFLxEREQCaFvqNrrO68rPKT9jwsSEhAl0vayrb+5FTQNUvil4iYiIBMiWw1u4bd5t7EjbgcVkYWLrib4Jr2OdsZrwugJQ8BIREQmA7w58x23zbmNPxh5sZhsvtH2BNvFtFLoqGAUvERERPzIMg/V713P7/Ns5mHmQEGsIL7V/iea1mmMxWajhqkGoLTTYZUqAKHiJiIj4iWEYrPp9FT0W9CA1O5VwWzivdHyFJnFNsJqt1HDWIMQWEuwyJYD8MmWQiIhIRec1vCzatojb5t1GanYqlRyVePPWN2kS1wS72U4N14lD1/Jdy0l8N5EVu1YEoWrxN7V4iYiInGOF3kLe2/IefT/pS44nh6jQKN7o8gaXVr0Uh8VBrCsWu8V+wteOXT2WtXvW4s53k3BJQoArF39T8BIRETmHPF4Pr256lYGfD6TAW0CcK47ZXWZTq3ItQiwhxLpisVlsJ329O89d7KeULwpeIiIi50h+YT6Tv5rMk188iYFBncg6/Kvzv4hxxhBmDaO6qzpWs756KzJ9+iIiIudATkEOo1aOYvLXkwFoGNOQVzq9QuWQyoTbwqnurI7FbAlylRJsCl4iIiJnKTMvk//7/P+YvXk2AM0ubMaMxBmE2cKIsEdQzVkNs+nUz7O589wcyTkCwJGcI7jz3JqzsZzRU40iIiJn4UjWEe5YcIcvdLWv3Z6ZHWcSbgunsqMyMc6YUoWutXvWEjc1jgPHDgBw4NgB4qbGsXbPWr/WL4Gl4CUiInKG9mbspeN7HVm0fREAd115F1NumYLD4iAyNJJqzmqYTKZTHsed5ybx3UTc+W68eAHw4sWdX7Q+Mz/Tr+9DAkfBS0RE5Az8kvILt7xzC+v3rQdgyA1DeLLFk1jNVqLDo4kKiyr1seb+PBev4T3hNq/hZe6WueekZgk+9fESERE5DYZhsH7ferrP785+934sJgvPtHqG2y67DbPJTLXwakQ4Ik7rmNuPbCerIOuE27IKstiRtuNclC5lgIKXiIhIKXkNL4u3LeaehfeQnptOmC2Mae2m0aJWi7Oa7LpOVB3CbeEnDF/htnBqR9Y+F+VLGaBbjSIiIqXg8Xp4bdNrdJvfjfTcdCJDI3nr1rdoUasFdrOduIi4MwpdAEmXJ520A77ZZCbpiqSzKV3KEAUvERGRU8gtyGX0ytE8uPhB8gvzuajSRbx3+3tcFXMVodZQ4iLiCLGe+WTXLoeLT3t9isvuwvzfr2YzZlz2ovVOu/NcvRUJMgUvERGRErjz3PT9pC8T1k4AoFFsI/7T7T/UqlwLp81JDVeNEqcAKq1mNZtxYMgB4iLiAIiLiOPAkAM0q9nsrI8tZYeCl4iIyEkccB+gy3tdeOend4CiMbre7PImUaFRVHJUItYVe05Ho3fanUSGRgIQGRqplq5ySJ3rRURETmDL4S30XNCTn1N+BqBPoz4MuWEIFpOFqLAoX0ASOR0KXiIiIn/iNbys2LWCuz68i+SsZMwmM6NajuKOK+7AYrIQHR592sNFiByn4CUiIvJfHq+H2d/P5tHPHyXHk4PT7uSFti/4nlyMccYQagv1aw3H52bUHI3lk/p4iYiIUPTk4pNfPMkDix4gx5NDnCuO925/jxa1WhBiCaFGRA2/hy6AMS3H0L52e8a0HOP3c0ngqcVLREQqvLTsNPot6sf7W98H4OrqV/Nyh5eLOrjbnMQ4Y85pJ/qSJFySQMIlCQE5lwSegpeIiFRo21K3cecHd7Lp4CYAOtfrzPibxxNiDaFKSBWiwqJKNdG1SGkoeImISIVkGAZf7PqCuxfezcHMgwA8et2jPNT4ISxmC9Fh0VQKqRTkKqW8UfASEZEK5/j0P4OXDibXk0uYLYxJrSfRJr4NVrOVWGdsQPpzScWj4CUiIhVKdn42w5cP56WNLwFwQcQFvJz4MvWq1iPUGkqMMwa7xR7kKqW8UvASEZEKY2/GXu7/6H5W/L4CgOvirmNau2lUCa2Cy+6iWni1gHWil4pJwUtERMo9wzD4as9X3L3wbn5P/x2Au668ixHNRmC32IkMjSQqLCrIVUpFoOAlIiLlmsfr4Y3v32DQkkFkF2RjM9sYfdNoutfvjsVkoVp4NQ1WKgGj4CUiIuVWVl4WQ5cNZeammQBUd1ZnRvsZXBVzFQ6LgxhnDCHWkCBXKRWJgpeIiJRLvx/9nbs/vJt1e9cBcG2Na3mx3YtEhUUFfFBUkeMUvEREpFzxGl6W7VxG7497s9+9H4D7GtzHYzc+5uvPFRkaqUFRJSgUvEREpNzI8+Qx+avJjF09lgJvASHWEMbfPJ5O9TphNVupFlYNp8MZ7DKlAlPwEhGRcuGQ+xD9Fvfj498+BuDiyhczvf106kbV1fhcUmYoeImIyHnNMAzW71vP3R/ezc6jOwFoX7s941uNx2V3UclRiarhVTGbzEGuVETBS0REzmMFhQXM+nYWI1aM8A0VMaLZCHpd2Qur2UrVsKqab1HKFAUvERE5L6VkptD/s/7M/2U+ALHOWKa1m0aD6g00VISUWQpeIiJyXjEMg7V71nL/R/f7bi3efNHNTEiYQFRoFC67i+jwaA0VIWWSbniLiEiZsXzXchLfTWTFrhUn3J7vyWfyV5Np83Ybdh7dic1sY2SzkczsMJOqYVWJDo+muqu6QpeUWWrxEhGRMmPs6rGs3bMWd76bhEsSim3bl7GPBxc/yOLtiwG4IOICXmj7wv9GoQ+PIcSmW4tStil4iYhImeHOcxf7CUUDoi7etpiHFj/kGxC1bXxbxrcaTyVHJSIcEVQNq6pWLjkvKHiJiEiZlZmfyVNfPMX0b6bjNbyEWEMY0WwEPS/vidVsJTo8mghHRLDLFCk1BS8RESkT3HlujuQcASAtJ42v937NgM8G8N3B7wC4tOqlTLllCrUjaxNqDaVaeDUcVkcwSxY5bQpeIiISdGv3rCXx3USyCrIAOOg+yI1v3Ojbfl+D+xhy4xAcFgdVQqoQFRaluRblvKTgJSIiQeXOc5P4biKFRiEWLHjx4jE8AJgwMaP9DNrEt8FuthMdHk24PTzIFYucOQUvEREJqrk/zyUyJJKcwhySC5KLbXNYHLjz3L6xuaxmfW3J+U1/wSIiElS703eTnJ1Mjifnb9tCbaF4vB5iXbFBqEzk3FPwEhGRoPAaXpbsWMKsTbNOGLriXHGEWcOo4aoRhOpE/EPBS0REAi4tO42RK0by+vev4zW8f9tut9jJLsjmWN4xelzRIwgViviHpgwSEZGAMQyDJTuW0OS1Jrz63at4DS+XVb2MCa0mEGGPwG6xA1DoLcTj9fBpr09x2p1Brlrk3FGLl4iIBER6TjojVozgte9ew2t4sZqtPNT4Ifpd0w+7xU6vq3rR/I3m7Dm2hxquGvzS/xeFLil3FLxERMSvDMPgs+2f8cjnj7Dr6C4A6kXV47nWz3FZ9GU4LA6iw6IJs4dRJbQKe47tITI0UqFLyiUFLxER8ZvkzGSGLR/GnB/mYGBgNVvpd00/Hmz8oG8w1MiwSMwm9XyRikHBS0REzjmv4WX+z/MZtGQQBzMPAnB59OWMbzWe+tH1i7Vy/ZnL4Sr2U6S8UfASEZFzak/6HgYuGciHv34IFA2C+sh1j3B/w/uxmW0ltnKNaTmGKV9PYcgNQwJdtkhAKHiJiMg54Sn0MPPbmYxaNYr03HQArq1xLU+3epqLKl9EiCWE6PBoQm2hJz1GwiUJJFySEKiSRQJOwUtERM7apgObGPDpANbvXw+A0+7ksRsfI+nyJKxma1ErV2ikJraWCk/BS0REztixvGOMXTWWGd/MoMBbAED72u15vPnjVAuvRpg1jOjwaBxWR5ArFSkbFLxEROS0GYbBB1s/YOiyofye/jtQNMXP6JtG07JWSywmC1XDqlIppFKQKxUpWxS8RETktGxL3cagJYP4dMenAFjNVu5veD/9m/QnzBaGy+4iKiwKm8UW5EpFyh4FLxERKZWs/CyeXfssU7+e6pvUunGNxoxqMYp6VevhsDioGlaVcHt4kCsVKbsUvEREpESGYbDw14U8tvQxdqUXjTxfNawqw5oOo3PdzkWd50OrUCWkijrPi5yCgpeIiJzUT4d/4rGlj7F011IALCYLd111F49c+wgRjgicdidRYVG+ya1FpGQKXiIi8jdpOWmMWTWGWd/O8j2t2LhGY55q8RSXVr0Uh8VBVGgUTofmUxQ5HX4JXl6vlzFjxvDbb79ht9sZP348tWrVKrZPWloaPXv25JNPPsHh0GPGIiJlQUFhAa9/9zpjVo8hOSsZgFhnLMOaDqN97fZYzVYiQyOpHFJZtxVFzoBfgtfy5cvJz89n7ty5bN68mYkTJzJz5kzf9i+//JIpU6aQmprqj9OLiMhpMgyDz3d8zogVI/jx8I9A0VQ/fRv1pU+jPoTZwohwRBAZGqmnFUXOgl+C16ZNm2jevDkADRs2ZMuWLcW2m81mZs+eze233+6P04uIyGn48dCPjFgxgs92fOZb1752e4Y1HUacK45QayhRYVElTvUjIqXjl+CVmZmJ0/m/+/4WiwWPx4PVWnS6pk2b+uO0IiJyGg66DzJ61Wje3Pymrx/XVTFXMbzpcBrXaIzdbCcqLAqXwxXkSkXKD78EL6fTSVZWlm/Z6/X6QpeIiASXO8/NlK+m8OKGF8nIywCKRp0ffMNgEuskYjPbqBxSmSqhVTCbzEGuVqR88cu/qEaNGrFmzRoANm/eTN26df1xGhGR88byXctJfDeRFbtWBK2GfE8+L33zEvVeqsfYNWPJyMvAaXcy5IYhfNbrMzrX60xkSCQ1K9UkKixKoUvED/zSDNWmTRvWrVtHz549MQyDCRMmMHv2bGrWrElCQoI/TikiUqaNXT2WtXvW4s53k3BJYP8/6PV6mffLPEatHMX2tO0A2Mw27rjyDh5q/BBRoVGE28KJDIskxBoS0NpEKhq/BC+z2cy4ceOKrYuPj//bfl988YU/Ti8iUqa489z8kf4HAH+k/4E7zx2QflOGYfDZjs8Ys2oMGw9s9K3vVLcTj17/KDUjahaNxxUWpWl+RAJEHa9ERPxo7Z61JL6bSNb/t3fv0U1Vif7Av3mck8dJ0vRdKPRFC9gCl/dDStFBEeEqig5VuLj8gXNFcalQWMLMiLhgQHRU1DUzoo4OIi7qVPBysczgA5Dy6AX7w6E8SguFlqaFvmiTtE2a5Nw/Opyxl4IgTULb72etrCR7h3N2DqdZ37XPPnu728a92hptiH0jFrmzc5Eel+63/e4+uxvLdy3H3rK9Sll6XDqyxmUhNTIVOo0OYYYwmEQT5+MiCiAGLyIiP7G77Ji6aSrsbrtS5oMPdndbuS3LBpPYuTO/55/Px/Jdy5UlfgBgWMwwPD/2eYztMxaiWkSoIRQWnYWBiygIGLyIiPwk+1g2fLKvwzqf7EN2YTbmDZ/XKfs6VHEIK79bie2ntkOGDAAYGDEQC8cuxMT4iRA0AkL1oQjRh3DQPFEQMXgREflJcW0xnK3ODuucrU6U1JXc9D46ClyJ1kQ8O+ZZTEmeokwNYdVboVFrbnp/RHRzGLyIiPwkJTwFkiB1GL4kQUJyWPLP3vah84ewcm/7wJUQkoCnRz+NaSnToNPoYNVbEaIPgVbNn3qiWwX/GomI/CQzLROL/r6owzq1So3MQZk3vM295/ZiTd6adsv7/N/AFaILgdVgZeAiugXxr5KIyE/MOjNyZ+cqdzX64IMaakiihNzZudc9sF6WZew8vRNr8tZgz7k9SnlHgStEH8JFrIluYQxeRER+lB6XDluWDal/SEV5YzliLbE4vuD4dYUur8+LbUXbsHbfWuRX5Cvl/cP7Y/6I+ZiSPAWiRmTgIupCGLyIiPzMJJoQb41HeWM54q3xPxm6XB4XPv7hY7x58E2cqDmhlA+OGoynRj2FOxPuhKAWGLiIuiAGLyKiAFgxcQVeP/A6ssZlXfUzl5ov4d3v38UfDv0B5xvPK+WjY0dj/oj5uL3v7RA0/wpcHMNF1PXwr5aIKAAmJU266hqNZy+dxTv57+CjIx+hvqUeAKCCCpP7TcYTw5/AkOghENUiQvQhsOgsnBaCqAtj8CIiCpL88/l48+Cb2HJiC1p9rQAAUSPiwYEPYu6wuUi0JrYNmteHwKwzc+JTom6AwYuIKIA8Pg+2FW3DcZpTfgAAGaZJREFUuoPr2q2jaNVb8eigRzF78GxESVEwaA2w6q2QRIlL+xB1IwxeREQBUNtUi/cL3sd737+H0kulSnmiNRGPD30c0wdMhyRKMAkmhOhDYBAMQWwtEfkLgxcRdSlfn/kabxx4A1njsq46ZupWcvTCUbyV/xY2F25uN4P9mNgxmDtsLjLiM5Q7FC16C0SNGMTWEpG/MXgRUZfy8p6XkVeWB7vbfssGL7fXjZzjOXjv+/faTXiq1+oxfcB0/MeQ/8CA8AHK+C2TaOKAeaIegsGLiLoMu8uOs5fOAmi7E9DussOsMwe3UT9y7tI5vHv4XWz4YQMqHZVKeaw5FrMHz8ZDqQ8hzBAGSZBg0VkgiVIQW0tEwcDgRURdQl5ZnrL0DgDYGm2IfSMWubNzkR6XHrR2eX1e5Bbn4v2C97GjZAc8Po9Slx6XjkcHPYo7E+6ETtu2pI9ZZ+blRKIejMGLiG55dpcdUzdNhd1tV8p88MHubiu3Zdmue93DzlLWUIYPCj7Axz98jHMN55Ryq86KGakz8EjaI0iwJkCv1SuXEzkdBBExeBHRLS/7WDZ8sq/DOp/sQ3ZhNuYNn+f3drR6W7GtaBs+/P8fYueZne16t4b3Go7MtEzcm3wvjIIRFp0FZtEMvaD3e7uIqOtg8CKiW15xbXG7OwJ/zNnqREldiV/3X3ixEB8UfIDswmxUOauUcqvOiukDp2Nm2kykhKVAr9XDorNwsDwRXRWDFxHd8lLCUyAJUofhSxIkJIcld/o+65vr8enRT7Hhhw04ZDvUrm507GjMTJ2Jyf0mQxIlmEUze7eI6LoweBHRLS8zLROL/r6owzq1So3MQZmdsh+P14Ptp7bj4398jB0lO9DiaVHqepl64cHbHsSMgTMQb42HQWtQ7kzk2C0iul4MXkR0yzPrzMidnavc1eiDD2qoIYkScmfn3vTA+kMVh7Dhhw346/G/4qLzolIuakRMTpqMGbfNwLg+42AQDDCJJphEE3Ra3c1+LSLqgRi8iKhLSI9Lhy3LhtQ/pKK8sRyxllgcX3D8Z4euopoifHL0E/z12F9RVFvUrm5U71GYPmA67km+B6H6UJhEE8yiGQbBwHUTieimMHgRUZdhEk2It8ajvLEc8db4Gw5dNrsNnx79FNmF2ThcebhdXUJIAu4feD/uH3A/4kPiYdQaYdKZIAkSB8oTUadh8CKiLmXFxBV4/cDryBqXdV2fr7JXYfOxzcg5noMD5w+0m5Yi0hiJqSlT8e/9/x1Dooa0u5QoaAR/fQUi6sEYvIioS5mUNOkn12i84LiAz45/hpzjOdhXtg9e2avUmUUzJvebjPv634cxsWOUsCWJEvRa3pVIRP7F4EVE3cL5hvP47Phn2HpiK/af39+uZ0sSJExKmoR7k+/FhLgJkAQJZp0ZkiBxCggiCigGLyLqsopri5FzPAdbT27FYdthyJCVOqNgxC8SfoF7U+5FRlxG2wB5nRlGwQiDYAhiq4moJ2PwIqIuQ5Zl/E/F/+DzE59j+6ntOFFzol29RWfBLxJ+gcnJkzGh7wSYdea2y4js2SKiWwSDFxHd0lo8LdhZshPbTm3DjpIdsNlt7erDDeGYlDgJk/tNxtg+Y2EWzZBEiWGLiG5JDF5EdMuxNdrwRdEX2H5qO3af3Y1mT3O7+oSQBNzV7y5MSpyEYTHDIAkSJFGCUTByYlMiuqUxeBH1QF+f+RpvHHgDWeOyfvIOwUDw+DzIK8vDl6e+xN9K/obC6sJ29WqVGkNjhuKO+DtwV9JdSAlLaevV+mfY0qr5U0ZEXQN/rYh6GLvLjqe+fAoldSUoritGwX8WwKwzB7wdFY0V+LL4S+wo3oFdZ3ehwdXQrt4kmjAhbgLuSLgDE+MnIlqKhiRKMGgNMIpGro9IRF0SgxdRD5JXlqesdwgAZ+rOIPaNWOTOzkV6XLpf993U2oTdZ3cjtzgXX5/5+oplegCgf1h/TIifgIz4DIzsPRIWsW0RaoNg4BxbRNQtMHgR9RB2lx1TN02F3W1Xynzwwe5uK7dl2W56sekf8/q8OGw7jL+V/A3fln6L/Ip8uLyudp+RBAnj+o5DRlwGJsZPRFxInDLdg0Ew8BIiEXU7/FUj6iGyj2W3m1T0x3yyD9mF2Zg3fN7P3r4syzhefRw7T+/EN6XfIK8s74rLh2qVGoOjBmN83Hik903HsJhhsOgsStBirxYRdXcMXkQ9RHFtMZytzg7rnK1OlNSV3ND2ZFlGUW0Rvjr9Fb4t/RZ7y/aitrn2is/Fh8RjbJ+xGNd3HMb3HY9oKRpGwQi9Vg+DYOBYLSLqURi8iHqIlPAUSILUYfiSBAnJYcnX/Pc+2YfCi4X49sy32FO2B/vK9qG6qfqKz0UaIzEmdowStBKsCe2CFi8fElFPxl9Aoh4iMy0Ti/6+qMM6tUqNzEGZ7cpcHhcO2w5jz7k92Fu2FwfKD1xx6RAAwgxhGBM7BqNjR2Ncn3EYED5AGael1+ohaAS/fB8ioq6IwYsoyOwuO17a/RL+6+R/4YGBD2DFHSv8Mr2DWWdG7uxc5a5GH3xQQw1JlJA7OxfNrc345sw3+O7cd9hXvg9Hqo5cMRgeAKKkKIzqPQoje4/EmNgxSI1IhVFs69Fi0CIiujYGL6IgUqZ3aHXCJ/uwLn8d3i9432/TO6THpcOWZcOwd4ehpL4EEVIEMuIz8NjWx1B6qbTDf5NgTcDwXsMxuvdojIodhZTQFBhFI3QaHfSCnpcOiYhuAH8xiYKkw+kd5M6f3kGWZZQ3luPg+YPYX74fhyoOobyxHABw0XkROcdzlM8KagGpkakY0WsERvQegZG9R6KvpS90Wh30Gj30gp6D4YmIbgKDF1GQ+Gt6hwuOCzhsO4z8inwcqjiEgsoCXGy62OFno6QoDIsZhqExQzG813AMjR6KUEModFoddBod1z0kIupkDF5EQdIZ0ztUOapQUFmAw7bDOGw7jILKAlTYKzr8rEFrQFpUGoZED2kLWjHDkWRNgl7QKyFLo9bc1HciIqJrY/AiCpIbmd7BJ/tQWl+KI1VHUFBZgILKAhypOoIqZ1WH29aqtRgQPgCDogYhLTINw3sNx+CowZBESQlZHARPRBR4DF5EQXK16R1UUEFUi2jyNOHpL5/GkaojOHrxKBxuR4fb0aq1SAlLQWpkKtIi0zA0Zij+LfrfEKIPgagRodPqIGpEf38dIiK6DgxeREFiEAx4d9q7WLBjARpbGuGDDyqoIENGvasez+549sp/ozVgQPgADIwYiEFRgzAkeggGRw2GRW+BqBYhakWGLCKiWxiDF5GfeX1elF4qxbGLx3C8+jiOXjyKwouFKKotgtvrbvdZGbLyOkqKwoDwAbgt4jakRbaNzRoQPgAG0aCELE7lQETUtfBXm6iTtHhaUFxbjJM1J3Gy5iSOVx/HsepjOFV7qsOJSC8zCkbESDFwtjpxV9JdmJYyDUOihyDGFANRIyoPlUoVwG9DRET+wOBF3UYgZoCXZRk2uw2nak+hqLYIRTVFOFl7EqdqTuFsw9mrTg8BADqNDkmhSUgOS0b/8P64LeI2DIoahKTQJOi1bRORihqRdxYSEXVjDF7ULXTmDPCyLKO6qRoldSUori3GqdpTOFV7CsV1xThdf/qqg9wvkwQJ/cL6IdGaiJSwFAyMGIi0yLS2gCXoIagFBiwioh6KwYu6vJ8zA7zH58H5xvM4U38Gp+tO43T9aZTUlaCkrgRn6s+021ZHVFCht7k3Eq2JSAxNRL/QfhgYMRCpkanoY+kDUSMqPVi8REhERJcxeFGXd60Z4D1eDxbvXIwEawJK60tx5tIZnKk/g7KGMnh8np/cdqQxEvHWeCRYE5BoTURyaNtlwpTwFFh0FggaAYJaYO8VERFdFwYv6pK8Pi8qHZU4d+kc/rvov+H2uiGqRbh97e8SbPY2Y/3366+6HRVUiDHFID4kHnEhcUgMTUSSNQnJ4clIDk1GqCGU4YqIiDoNgxddwe6yI/tYNopri5ESnoLMtMxOH6R+LT7Zh2pnNc43nsf5xvMobyxHeUO58nyu4Rxsdhu8sve6tmfQGpAUmoRYSyziQ+KREJKApLAkJIUmIdGaCEmQoNVoIagFXhYkIiK/YvCidi4PUm/1tqLF2wK9Ro9Ff1/0swapd6S5tRmVjkrY7DZUNFagwl7R7vl843nYHLYr5re6FqveCofbARVU8Pg8kCFDo9Kgt7k3zIIZu//fbuWyoFqlvunvQERE9HMxeJGio0HqLd4WtHhbrjpIHWi7C9DutuOC4wIqHZWotFei0lGJKkeV8t5mt8Fmt6G+pf6G2mTQGtDL1AsxphjEWmIRa45FXEgc4kLi0DekL+IscbDqrSioKsCsnFmwOWxo9bUCABpaGvDpQ58iUoq8uQNDRETUSRi8SHGtQepurxvzt89Hv9B+uOC80PZwXECVowpVjio0e5pveH9WnRXRpmhES9HoZe6F3qbe6G3p3S5chRvCIWgEaNXaa14GvL3v7ShcUIgVu1Zga9FWPDjgQay4c0WHQZGIiChYGLx6CK/Pi/qWetQ01aCmqQbVzmpUN1Wj2lnd9r6pGgfKD6DF06KsF/hjLq8Lm45uuq59hepDEWGMQJQUhWhTNGKkGPQ291YeseZYxFpiIYkStGptp13+M4km/P6e3+P39/y+U7ZHRETU2Ri8uhhZltHsaUZdcx3qmutQ21T7r9fNtahtqm17/ufry0GrrrnuijB1I1RQIcIYgURrIiKMEYiUIhFjikG0FI0Ycwx6mdp6rGJMMTCKRmhUGg5UJyIi+j8YvIJAlmU43A5carnU7lHfUt/23FyvvL8cqi6/rm+uv+a6f9dLEiSEG8IRZghDuDEcEcYIhOhCsO3UNvhkH+qa6uCRPdCqtAg3hsOgNeDo00d56Y6IiOgmMHjdIK/PC4fbgUZXo/JocDW0Pbc0KO8bWhranl0NuNRySXl/+fX1ToVwPSw6C6x6K0L1oQgzhCmPcEM4woxhiDRGItIYiSgpCuGGcESZoiAJUoc9UnPK5mDqpqnwoW2slw8+NLU2IWdmDkMXERHRTer2wcvj88DpdsLZ6oTD7YDdZYfD7VAedrddKbv82u62K68bXY3tXjtbnX5pp1EwwqKzIEQXAqveqjyHGkKVQBVqCEWY/p89VFIEIgwRCDeEQ6vpvP/G9Lh02LJsHKRORETkB10ieNU112H94fVwtjrhdDvR1NqkvHa2Otu/drcFrMtBq8XT4vf2CWoBZp0ZZtEMs84Mi84Ci2hpC1L6ECVEWXQWhBnCEKIPadc7FWoIhagR/d7O68VB6kRERP7RJYJX6aVSzP9yfqduU6/VQxIkmEQTJFGCSTDBJJpgEAxocDXA6/UiQorA0OihCDeGt4WpHwWpEH1bmDKLZui1eg4kJyIiop/UJYKXoBbQL7QfDIIBkiDBoDXAKBhhFI1twUmQ2h6XA5SurexyL5RJNLXrkZIEqcN19/LK8jBt0zR4ZS+crU5IgoTdZ3d32qztRERE1LN1ieA1JHoItjy7xa/76GjW9svjua41azsRERHR9fLLwnU+nw/Lly9HZmYm5syZg3PnzrWr/+yzzzBjxgzMnDkTu3bt8kcTbti1Zm33yT5kF2YHuEVERETU3filx+vrr7+G2+1GdnY2jhw5gldeeQV/+tOfAADV1dXYuHEjPv/8c7hcLsyaNQvjx4+HKAZ3cHlxbfFV71h0tjpRUlcS4BYRERFRd+OXHq/vv/8eEyZMAAAMHToUhYWFSt0//vEPDBs2DKIowmw2Iy4uDidPnvRHM25ISngKJEHqsE4SJCSHJQe4RURERNTd+CV4ORwOmEz/Gg+l0Wjg8XiUOrPZrNRJkgSHw+GPZtyQzLTMq64ZqFapkTkoM8AtIiIiou7GL8HLZDLB6fzXZTufzwetVtthndPpbBfEgsWsMyN3di7Molnp+ZIECWaxrZwD64mIiOhm+WWM1/Dhw7Fr1y5MnToVR44cQf/+/ZW6IUOGYN26dXC5XHC73Th9+nS7+mC6PGt7dmE2SupKkByWjMxBmQxdRERE1Cn8Erzuvvtu7Nu3D4888ghkWcbq1avx0UcfIS4uDpMmTcKcOXMwa9YsyLKMhQsXQqfT+aMZP4tJNGHe8HnBbgYRERF1QypZluVgN+KnzJgxA1u2+HceLyIiIqLOcK3c4pcxXkRERER0JQYvIiIiogBh8CIiIiIKEAYvIiIiogBh8CIiIiIKEAYvIiIiogBh8CIiIiIKEAYvIiIiogBh8CIiIiIKEAYvIiIiogBh8CIiIiIKEAYvIiIiogBh8CIiIiIKEAYvIiIiogDRBrsB16OiogIzZswIdjOIiIiIflJFRcVV61SyLMsBbAsRERFRj8VLjUREREQBwuBFREREFCAMXkREREQBwuBFREREFCAMXkREREQBwuBFREREFCBdYh6v7qS1tRW//vWvUVFRAbfbjaeeegrJyclYunQpVCoVUlJS8NJLL0GtZibuLF6vF7/97W9RWloKjUaDNWvWQJZlHvMAqK2txYwZM/Dhhx9Cq9XymPvZAw88ALPZDADo06cPMjMz8bvf/Q4ajQbp6el45plngtzC7mX9+vX49ttv0draikcffRSjR4/mOe5HW7ZswdatWwEALpcLJ06cwMaNG7veOS5TQOXk5MirVq2SZVmW6+rq5IkTJ8pPPvmkfPDgQVmWZfnFF1+Ud+7cGcwmdjtfffWVvHTpUlmWZfngwYPy/PnzecwDwO12y08//bQ8efJkuaSkhMfcz1paWuTp06e3K7v//vvlc+fOyT6fT37iiSfkwsLCILWu+zl48KD85JNPyl6vV3Y4HPLbb7/NczyAVqxYIW/evLlLnuOM4gE2ZcoUPPfcc8p7jUaDY8eOYfTo0QCAjIwM7N+/P1jN65buuusurFy5EgBgs9kQERHBYx4Aa9euxSOPPIKoqCgA4DH3s5MnT6K5uRlz587FY489hkOHDsHtdiMuLg4qlQrp6ek4cOBAsJvZbeTl5aF///5YsGAB5s+fjzvuuIPneIAcPXoUJSUlmDZtWpc8xxm8AkySJJhMJjgcDjz77LN4/vnnIcsyVCqVUm+324Pcyu5Hq9XihRdewMqVK3HPPffwmPvZli1bEBYWhgkTJihlPOb+pdfrMW/ePPz5z3/Gyy+/jGXLlsFgMCj1POadq76+HoWFhXjrrbfw8ssvY/HixTzHA2T9+vVYsGABHA4HTCaTUt5VjjnHeAVBZWUlFixYgFmzZuG+++7Da6+9ptQ5nU5YLJYgtq77Wrt2LRYvXoyZM2fC5XIp5Tzmne/zzz+HSqXCgQMHcOLECbzwwguoq6tT6nnMO19iYiLi4+OhUqmQmJgIs9mMS5cuKfU85p3LarUiKSkJoigiKSkJOp0OVVVVSj2Pt380NjbizJkzGDt2LBwOB5xOp1LXVY45e7wCrKamBnPnzsWSJUvw8MMPAwBSU1ORn58PAPjuu+8wcuTIYDax2/niiy+wfv16AIDBYIBKpcKgQYN4zP1o06ZN+OSTT7Bx40bcdtttWLt2LTIyMnjM/SgnJwevvPIKAODChQtobm6G0WhEWVkZZFlGXl4ej3knGjFiBPbu3QtZlpXjPW7cOJ7jfnbo0CHcfvvtAACTyQRBELrcOc5FsgNs1apV2LFjB5KSkpSy3/zmN1i1ahVaW1uRlJSEVatWQaPRBLGV3UtTUxOWLVuGmpoaeDwe/OpXv0K/fv3w4osv8pgHwJw5c7BixQqo1Woecz9yu91YtmwZbDYbVCoVFi9eDLVajdWrV8Pr9SI9PR0LFy4MdjO7lVdffRX5+fmQZRkLFy5Enz59eI772QcffACtVovHH38cAHDkyJEud44zeBEREREFCC81EhEREQUIgxcRERFRgDB4EREREQUIgxcRERFRgDB4EREREQUIJ1AlIrqK7du3Y8OGDdBoNOjfv78yLQYR0c/FXxAiog60tLRg3bp1+Pjjj7F582Y4HA7s2rUr2M0ioi6OPV5E1C2UlpZi2bJl0Gq10Gg0ePXVV/H222+jqqoK9fX1yMjIwPPPP4+lS5dClmVUVlaiqakJa9euRZ8+ffDcc8/B4XCgpaUFS5YswahRo7B582ZlvUOPxwOdThfkb0lEXR2DFxF1C/v370daWhqWLl2Kw4cPo6GhAUOHDsUvf/lLuFwuJXgBQN++fbF27Vrs2bMHr732GrKyslBTU4O//OUvqK2txdmzZ6FWqxEREQEA2LhxI5qamjB+/PhgfkUi6gYYvIioW3j44Yfx/vvv44knnoDZbMYzzzyDo0eP4uDBgzCZTHC73cpnx44dCwAYNmwYVq9ejZSUFMyePRuLFi2Cx+PBnDlzAAA+nw+vvfYaSktL8c4770ClUgXluxFR98ExXkTULXzzzTcYMWIENmzYgClTpmD69Okwm814/fXXMXfuXLS0tODyCmnHjh0DABQUFCAlJQVFRUVwOp1477338Morr2DlypUAgOXLl8PlcuGPf/yjcsmRiOhmcK1GIuoWysrKsGTJEmg0GqjVaixcuBArVqyAJEkwGAyorKzEhg0b8Oabb6K6uhqtra3w+XxYs2YNoqKisGTJEthsNgiCgMzMTKSkpOChhx7CyJEjlZ6uxx57DHfffXeQvykRdWUMXkTUoyxduhRTp05FRkZGsJtCRD0QLzUSERERBQh7vIiIiIgChD1eRERERAHC4EVEREQUIAxeRERERAHC4EVEREQUIAxeRERERAHyv4h2vVF8wRG1AAAAAElFTkSuQmCC\n", |
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|
3405 |
"text/plain": [ |
|
|
3406 |
"<Figure size 720x504 with 1 Axes>" |
|
|
3407 |
] |
|
|
3408 |
}, |
|
|
3409 |
"metadata": {}, |
|
|
3410 |
"output_type": "display_data" |
|
|
3411 |
} |
|
|
3412 |
], |
|
|
3413 |
"source": [ |
|
|
3414 |
"# Logistic Regression plots - regplot\n", |
|
|
3415 |
"fig, ax=plt.subplots(figsize=(10,7))\n", |
|
|
3416 |
"sns.regplot(data=saps, x= 'saps2', y='hdeath', logistic=True, color='g', x_bins=10, ax=ax)\n", |
|
|
3417 |
"ax.set (title='Regression: SAPSII Total Score and ICU Survival')\n", |
|
|
3418 |
"plt.show()\n" |
|
|
3419 |
] |
|
|
3420 |
}, |
|
|
3421 |
{ |
|
|
3422 |
"cell_type": "code", |
|
|
3423 |
"execution_count": 180, |
|
|
3424 |
"metadata": {}, |
|
|
3425 |
"outputs": [ |
|
|
3426 |
{ |
|
|
3427 |
"data": { |
|
|
3428 |
"image/png": 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|
|
|
3429 |
"text/plain": [ |
|
|
3430 |
"<Figure size 1440x720 with 4 Axes>" |
|
|
3431 |
] |
|
|
3432 |
}, |
|
|
3433 |
"metadata": {}, |
|
|
3434 |
"output_type": "display_data" |
|
|
3435 |
} |
|
|
3436 |
], |
|
|
3437 |
"source": [ |
|
|
3438 |
"plt.figure(figsize=(20,10))\n", |
|
|
3439 |
"plt.subplot(2, 2, 1)\n", |
|
|
3440 |
"_ = sns.regplot(data=saps, x= 'AGE', y='hdeath',logistic=True, color='g', x_bins=10)\n", |
|
|
3441 |
"_ = plt.title('Regression: ICU Patient Age and ICU Survival')\n", |
|
|
3442 |
"plt.subplot(2, 2, 2)\n", |
|
|
3443 |
"_ = sns.regplot(data=saps, x= 'bp_13.0', y='hdeath', logistic=True, color='g', x_bins=10)\n", |
|
|
3444 |
"_ = plt.title('Regression: Systolic Blood Pressure (<70mmHg)and ICU Survival')\n", |
|
|
3445 |
"plt.subplot(2, 2, 3)\n", |
|
|
3446 |
"_ = sns.regplot(data=saps, x= 'bp_5.0', y='hdeath', logistic=True, color='r', x_bins=10)\n", |
|
|
3447 |
"_ = plt.title('Regression: Systolic Blood Pressure (70-99mmHg) and ICU Survival')\n", |
|
|
3448 |
"plt.subplot(2, 2, 4)\n", |
|
|
3449 |
"_ = sns.regplot(data=saps, x= 'hr_11.0', y='hdeath' , logistic=True, color='r', x_bins=10)\n", |
|
|
3450 |
"_ = plt.title('Regression: Cardiac Attack and ICU Survival')\n", |
|
|
3451 |
"plt.tight_layout()" |
|
|
3452 |
] |
|
|
3453 |
}, |
|
|
3454 |
{ |
|
|
3455 |
"cell_type": "code", |
|
|
3456 |
"execution_count": 181, |
|
|
3457 |
"metadata": {}, |
|
|
3458 |
"outputs": [ |
|
|
3459 |
{ |
|
|
3460 |
"data": { |
|
|
3461 |
"image/png": 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|
|
|
3462 |
"text/plain": [ |
|
|
3463 |
"<Figure size 1440x720 with 4 Axes>" |
|
|
3464 |
] |
|
|
3465 |
}, |
|
|
3466 |
"metadata": {}, |
|
|
3467 |
"output_type": "display_data" |
|
|
3468 |
} |
|
|
3469 |
], |
|
|
3470 |
"source": [ |
|
|
3471 |
"plt.figure(figsize=(20,10))\n", |
|
|
3472 |
"plt.subplot(2, 2, 1)\n", |
|
|
3473 |
"_ = sns.regplot(data=saps, x= 'UO', y='hdeath' , color='c', x_bins=10)\n", |
|
|
3474 |
"_ = plt.title('Regression: ICU Patient Urinary Output Level and ICU Survival')\n", |
|
|
3475 |
"plt.subplot(2, 2, 2)\n", |
|
|
3476 |
"_ = sns.regplot(data=saps, x= 'ud', y='hdeath' , color='c', x_bins=10)\n", |
|
|
3477 |
"_ = plt.title('Regression: ICU Patient with Underlying Disease and ICU Survival')\n", |
|
|
3478 |
"plt.subplot(2, 2, 3)\n", |
|
|
3479 |
"_ = sns.regplot(data=saps, x= 'Bicarbonate', y='hdeath' , color='y', x_bins=10)\n", |
|
|
3480 |
"_ = plt.title('Regression: Blood Bicarbonate Level and ICU Survival')\n", |
|
|
3481 |
"plt.subplot(2, 2, 4)\n", |
|
|
3482 |
"_ = sns.regplot(data=saps, x= 'gcs', y='hdeath' , color='y', x_bins=10)\n", |
|
|
3483 |
"_ = plt.title('Regression: ICU Patient Galsgow Coma Scale and ICU Survival')\n", |
|
|
3484 |
"plt.tight_layout()" |
|
|
3485 |
] |
|
|
3486 |
}, |
|
|
3487 |
{ |
|
|
3488 |
"cell_type": "markdown", |
|
|
3489 |
"metadata": {}, |
|
|
3490 |
"source": [ |
|
|
3491 |
"## Results 4\n", |
|
|
3492 |
"### Logistic Regression Plots \n", |
|
|
3493 |
"\n", |
|
|
3494 |
"+ There is a strong positive relationship between SAPSII total score and the probability of hospital mortality. The probability of hospital mortality starts to escalate after SAPSII total score of 50. \n", |
|
|
3495 |
"+ Values in x-axis are SAPSII scores for the specific variable - not the actual values. For example age values are not exact patient age, rather SAPSII score that corspondes to the patient age. \n", |
|
|
3496 |
"+ Patient age, extreme levels of systolic blood pressure (less than 70mmHg), blood bicarbonate level, pateint's galsgow comma score, urinary output level, and presence of underliying chronic diseas is stronlgy associated with hospital death. This relationship diminishes when control for 'CHILD' variable. \n", |
|
|
3497 |
"+ Although we have seen strong positive correlation between cardiac arrest and hospital death, the logistic regression plot did not show the same.\n", |
|
|
3498 |
"+ For patients above 80 years old, their age increases their likelihood of hospital death by about 20%. \n", |
|
|
3499 |
"+ Patients with extream blood pressure (less than 70mmHg) the first 24 hours of their hospital stay increased their likelihood of hospital mortality by 17%. \n", |
|
|
3500 |
"+ Patients with sever urinary output level (less than 500mL) within the first 24 hours of their ICU stay increased their likelihood of hospital mortality by around 16%. \n", |
|
|
3501 |
"+ patients with low blood bicarbonate levels within the first 24 hours of ICU stay increased their chances of hospital mortability by around 15%\n", |
|
|
3502 |
"+ patients with underlying disease like AIDS increased their likelihood of hopital mortality by around 8%\n", |
|
|
3503 |
"+ patients with very low GCS (<6) within the first 24 hours of hospital stay increased their chances of hospitality mortality by around 20%" |
|
|
3504 |
] |
|
|
3505 |
}, |
|
|
3506 |
{ |
|
|
3507 |
"cell_type": "code", |
|
|
3508 |
"execution_count": null, |
|
|
3509 |
"metadata": {}, |
|
|
3510 |
"outputs": [], |
|
|
3511 |
"source": [] |
|
|
3512 |
} |
|
|
3513 |
], |
|
|
3514 |
"metadata": { |
|
|
3515 |
"kernelspec": { |
|
|
3516 |
"display_name": "Python 3", |
|
|
3517 |
"language": "python", |
|
|
3518 |
"name": "python3" |
|
|
3519 |
}, |
|
|
3520 |
"language_info": { |
|
|
3521 |
"codemirror_mode": { |
|
|
3522 |
"name": "ipython", |
|
|
3523 |
"version": 3 |
|
|
3524 |
}, |
|
|
3525 |
"file_extension": ".py", |
|
|
3526 |
"mimetype": "text/x-python", |
|
|
3527 |
"name": "python", |
|
|
3528 |
"nbconvert_exporter": "python", |
|
|
3529 |
"pygments_lexer": "ipython3", |
|
|
3530 |
"version": "3.7.4" |
|
|
3531 |
} |
|
|
3532 |
}, |
|
|
3533 |
"nbformat": 4, |
|
|
3534 |
"nbformat_minor": 2 |
|
|
3535 |
} |