a b/rf/rf_classifier.ipynb
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{
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 "cells": [
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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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    "# Imminent ICU Admission and Prolonged Stay Prediction using Random Forests"
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   ]
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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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    "## Imports & Inits"
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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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    "ExecuteTime": {
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     "end_time": "2019-08-09T11:42:43.195837Z",
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     "start_time": "2019-08-09T11:42:43.103889Z"
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    }
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   },
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   "outputs": [],
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   "source": [
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    "%load_ext autoreload\n",
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    "%autoreload 2"
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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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    "ExecuteTime": {
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     "end_time": "2019-08-09T11:42:45.762030Z",
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     "start_time": "2019-08-09T11:42:43.520325Z"
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    }
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   },
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   "outputs": [
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    {
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     "data": {
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      "text/plain": [
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       "{'workdir': PosixPath('../data/workdir/rf'),\n",
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       " 'dataset_csv': PosixPath('../data/proc_dataset.csv'),\n",
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       " 'cols': ['hadm_id',\n",
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       "  'imminent_adm_label',\n",
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       "  'prolonged_stay_label',\n",
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       "  'processed_note',\n",
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       "  'charttime',\n",
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       "  'intime',\n",
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       "  'chartinterval'],\n",
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       " 'imminent_adm_cols': ['hadm_id', 'processed_note', 'imminent_adm_label'],\n",
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       " 'prolonged_stay_cols': ['hadm_id', 'processed_note', 'prolonged_stay_label'],\n",
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       " 'dates': ['charttime', 'intime'],\n",
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       " 'modeldir': PosixPath('../data/workdir/rf/models'),\n",
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       " 'min_freq': 3,\n",
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       " 'ia_thresh': 0.27,\n",
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       " 'ps_thresh': 0.37,\n",
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       " 'start_seed': 127}"
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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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    "import sys\n",
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    "sys.path.append('../')\n",
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    "\n",
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    "import matplotlib.pyplot as plt\n",
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    "%matplotlib inline\n",
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    "\n",
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    "import numpy as np\n",
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    "np.set_printoptions(precision=2)\n",
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    "\n",
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    "import pandas as pd\n",
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    "import pickle\n",
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    "from pathlib import Path\n",
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    "\n",
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    "from sklearn.ensemble import RandomForestClassifier\n",
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    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
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    "\n",
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    "from utils.splits import set_group_splits\n",
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    "from utils.metrics import BinaryAvgMetrics, get_best_model\n",
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    "from utils.plots import *\n",
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    "from args import args\n",
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    "vars(args)"
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   ]
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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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    "## RF Model Dev"
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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": 3,
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   "metadata": {
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    "ExecuteTime": {
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     "end_time": "2019-08-09T11:42:47.849363Z",
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     "start_time": "2019-08-09T11:42:45.763496Z"
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    }
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   },
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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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      "(50809, 3)\n",
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      "(60830, 3)\n"
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     ]
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    }
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   ],
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   "source": [
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    "seed = 643\n",
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    "ori_df = pd.read_csv(args.dataset_csv, usecols=args.cols, parse_dates=args.dates)\n",
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    "ia_df = ori_df.loc[(ori_df['imminent_adm_label'] != -1)][args.imminent_adm_cols].reset_index(drop=True)\n",
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    "ps_df = ori_df.loc[(ori_df['chartinterval'] != 0)][args.prolonged_stay_cols].reset_index(drop=True)\n",
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    "\n",
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    "print(ia_df.shape)\n",
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    "print(ps_df.shape)"
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   ]
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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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    "### Imminent ICU Admission"
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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": 4,
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   "metadata": {
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    "ExecuteTime": {
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     "end_time": "2019-08-09T11:42:47.913020Z",
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     "start_time": "2019-08-09T11:42:47.851130Z"
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    }
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   },
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   "outputs": [],
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   "source": [
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    "df = set_group_splits(ia_df.copy(), group_col='hadm_id', seed=seed)\n",
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    "vectorizer = TfidfVectorizer(sublinear_tf=True, ngram_range=(1,2), binary=True, max_features=60_000)"
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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": 5,
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   "metadata": {
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    "ExecuteTime": {
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     "end_time": "2019-08-09T11:43:15.838948Z",
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     "start_time": "2019-08-09T11:42:47.914436Z"
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    }
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   },
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   "outputs": [
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    {
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     "data": {
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      "text/plain": [
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       "((50809, 4), (42683, 60000), (8126, 60000), (42683,), (8126,))"
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      ]
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     },
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     "execution_count": 5,
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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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    "x_train = vectorizer.fit_transform(df.loc[(df['split'] == 'train')]['processed_note'])\n",
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    "x_test = vectorizer.transform(df.loc[(df['split'] == 'test')]['processed_note'])\n",
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    "y_train = df.loc[(df['split'] == 'train')]['imminent_adm_label'].to_numpy()\n",
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    "y_test = df.loc[(df['split'] == 'test')]['imminent_adm_label'].to_numpy()\n",
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    "df.shape, x_train.shape, x_test.shape, y_train.shape, y_test.shape"
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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": 6,
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   "metadata": {
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    "ExecuteTime": {
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     "end_time": "2019-08-09T11:43:15.876787Z",
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     "start_time": "2019-08-09T11:43:15.841810Z"
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    }
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   },
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   "outputs": [],
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   "source": [
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    "params = {\n",
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    "  \"class_weight\": 'balanced',\n",
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    "  \"criterion\": \"entropy\",\n",
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    "  \"max_features\": 0.12,\n",
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    "  \"min_samples_leaf\": 3,\n",
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    "  \"min_samples_split\": 7,\n",
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    "  \"n_estimators\": 108,\n",
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    "  \"oob_score\": True,\n",
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    "}"
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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": 7,
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   "metadata": {
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    "ExecuteTime": {
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     "end_time": "2019-08-09T11:44:49.982333Z",
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     "start_time": "2019-08-09T11:43:15.878502Z"
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    }
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   },
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   "outputs": [],
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   "source": [
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    "clf = RandomForestClassifier(**params, n_jobs=32)\n",
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    "clf.fit(x_train, y_train)\n",
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    "prob = clf.predict_proba(x_test)[:, 1]"
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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": 8,
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   "metadata": {
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    "ExecuteTime": {
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     "end_time": "2019-08-09T11:44:50.839847Z",
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     "start_time": "2019-08-09T11:44:49.987603Z"
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    }
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   },
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   "outputs": [
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    {
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     "data": {
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\n",
231
      "text/plain": [
232
       "<Figure size 1440x720 with 1 Axes>"
233
      ]
234
     },
235
     "metadata": {
236
      "needs_background": "light"
237
     },
238
     "output_type": "display_data"
239
    }
240
   ],
241
   "source": [
242
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
243
    "plot_youden(ax, y_test, prob, 0.1, 0.9, 40)"
244
   ]
245
  },
246
  {
247
   "cell_type": "code",
248
   "execution_count": 9,
249
   "metadata": {
250
    "ExecuteTime": {
251
     "end_time": "2019-08-09T11:44:51.792022Z",
252
     "start_time": "2019-08-09T11:44:50.842835Z"
253
    }
254
   },
255
   "outputs": [
256
    {
257
     "data": {
258
      "image/png": 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\n",
259
      "text/plain": [
260
       "<Figure size 1440x720 with 1 Axes>"
261
      ]
262
     },
263
     "metadata": {
264
      "needs_background": "light"
265
     },
266
     "output_type": "display_data"
267
    }
268
   ],
269
   "source": [
270
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
271
    "plot_thresh_range(ax, y_test, prob, 0.1, 0.9, 40)"
272
   ]
273
  },
274
  {
275
   "cell_type": "code",
276
   "execution_count": 10,
277
   "metadata": {
278
    "ExecuteTime": {
279
     "end_time": "2019-08-09T11:44:51.984477Z",
280
     "start_time": "2019-08-09T11:44:51.794004Z"
281
    }
282
   },
283
   "outputs": [
284
    {
285
     "data": {
286
      "image/png": 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\n",
287
      "text/plain": [
288
       "<Figure size 720x576 with 1 Axes>"
289
      ]
290
     },
291
     "metadata": {
292
      "needs_background": "light"
293
     },
294
     "output_type": "display_data"
295
    }
296
   ],
297
   "source": [
298
    "fig, ax = plt.subplots(figsize=(10,8))\n",
299
    "plot_roc(ax, y_test, prob)"
300
   ]
301
  },
302
  {
303
   "cell_type": "code",
304
   "execution_count": 11,
305
   "metadata": {
306
    "ExecuteTime": {
307
     "end_time": "2019-08-09T11:44:52.032575Z",
308
     "start_time": "2019-08-09T11:44:51.986868Z"
309
    }
310
   },
311
   "outputs": [
312
    {
313
     "data": {
314
      "text/html": [
315
       "<div>\n",
316
       "<style scoped>\n",
317
       "    .dataframe tbody tr th:only-of-type {\n",
318
       "        vertical-align: middle;\n",
319
       "    }\n",
320
       "\n",
321
       "    .dataframe tbody tr th {\n",
322
       "        vertical-align: top;\n",
323
       "    }\n",
324
       "\n",
325
       "    .dataframe thead th {\n",
326
       "        text-align: right;\n",
327
       "    }\n",
328
       "</style>\n",
329
       "<table border=\"1\" class=\"dataframe\">\n",
330
       "  <thead>\n",
331
       "    <tr style=\"text-align: right;\">\n",
332
       "      <th></th>\n",
333
       "      <th>Value</th>\n",
334
       "    </tr>\n",
335
       "  </thead>\n",
336
       "  <tbody>\n",
337
       "    <tr>\n",
338
       "      <th>sensitivity</th>\n",
339
       "      <td>0.821</td>\n",
340
       "    </tr>\n",
341
       "    <tr>\n",
342
       "      <th>specificity</th>\n",
343
       "      <td>0.673</td>\n",
344
       "    </tr>\n",
345
       "    <tr>\n",
346
       "      <th>ppv</th>\n",
347
       "      <td>0.419</td>\n",
348
       "    </tr>\n",
349
       "    <tr>\n",
350
       "      <th>npv</th>\n",
351
       "      <td>0.929</td>\n",
352
       "    </tr>\n",
353
       "    <tr>\n",
354
       "      <th>f1</th>\n",
355
       "      <td>0.555</td>\n",
356
       "    </tr>\n",
357
       "    <tr>\n",
358
       "      <th>auroc</th>\n",
359
       "      <td>0.818</td>\n",
360
       "    </tr>\n",
361
       "  </tbody>\n",
362
       "</table>\n",
363
       "</div>"
364
      ],
365
      "text/plain": [
366
       "             Value\n",
367
       "sensitivity  0.821\n",
368
       "specificity  0.673\n",
369
       "ppv          0.419\n",
370
       "npv          0.929\n",
371
       "f1           0.555\n",
372
       "auroc        0.818"
373
      ]
374
     },
375
     "execution_count": 11,
376
     "metadata": {},
377
     "output_type": "execute_result"
378
    }
379
   ],
380
   "source": [
381
    "threshold = 0.27\n",
382
    "y_pred = (prob > threshold).astype(np.int64)\n",
383
    "cm = confusion_matrix(y_test, y_pred)\n",
384
    "tn,fp,fn,tp = cm[0][0],cm[0][1],cm[1][0],cm[1][1]\n",
385
    "sensitivity = tp/(tp+fn)\n",
386
    "specificity = tn/(tn+fp)\n",
387
    "ppv = tp/(tp+fp)\n",
388
    "npv = tn/(tn+fn)\n",
389
    "f1 = (2*ppv*sensitivity)/(ppv+sensitivity)\n",
390
    "auroc = roc_auc_score(y_test, prob)\n",
391
    "\n",
392
    "d = {\n",
393
    "  'sensitivity': np.round(sensitivity, 3),\n",
394
    "  'specificity': np.round(specificity, 3),\n",
395
    "  'ppv': np.round(ppv, 3),\n",
396
    "  'npv': np.round(npv, 3),\n",
397
    "  'f1': np.round(f1, 3),\n",
398
    "  'auroc': np.round(auroc, 3),\n",
399
    "}\n",
400
    "\n",
401
    "metrics = pd.DataFrame(d.values(), index=d.keys(), columns=['Value'])\n",
402
    "metrics"
403
   ]
404
  },
405
  {
406
   "cell_type": "code",
407
   "execution_count": 12,
408
   "metadata": {
409
    "ExecuteTime": {
410
     "end_time": "2019-08-09T11:44:52.298342Z",
411
     "start_time": "2019-08-09T11:44:52.034064Z"
412
    }
413
   },
414
   "outputs": [
415
    {
416
     "data": {
417
      "image/png": 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\n",
418
      "text/plain": [
419
       "<Figure size 720x576 with 2 Axes>"
420
      ]
421
     },
422
     "metadata": {
423
      "needs_background": "light"
424
     },
425
     "output_type": "display_data"
426
    }
427
   ],
428
   "source": [
429
    "fig, ax = plt.subplots(figsize=(10, 8))\n",
430
    "plot_confusion_matrix(ax, cm, classes=['Delayed', 'Imminent'], normalize=False, title='Confusion matrix')"
431
   ]
432
  },
433
  {
434
   "cell_type": "code",
435
   "execution_count": null,
436
   "metadata": {},
437
   "outputs": [],
438
   "source": [
439
    "import re\n",
440
    "from spacy.lang.en.stop_words import STOP_WORDS\n",
441
    "\n",
442
    "def get_top_markers(feature_names, scores, n_markers=50):\n",
443
    "  p = re.compile('^[a-z\\s]+$')\n",
444
    "  sorted_idxs = np.argsort(scores)\n",
445
    "  markers = []\n",
446
    "  wts = []\n",
447
    "\n",
448
    "  for i in sorted_idxs:\n",
449
    "    marker = feature_names[i]\n",
450
    "    if len(marker) > 7 and marker not in STOP_WORDS and p.match(marker):\n",
451
    "      markers.append(marker)\n",
452
    "      wts.append(scores[i])\n",
453
    "\n",
454
    "  wts = np.asarray(wts)\n",
455
    "  df = pd.DataFrame({'markers': markers, 'score': wts/wts.sum()}, columns=['markers', 'score'])\n",
456
    "  \n",
457
    "  return df.head(n_markers), df.tail(n_markers).sort_values(by='score').reset_index(drop=True)"
458
   ]
459
  },
460
  {
461
   "cell_type": "code",
462
   "execution_count": null,
463
   "metadata": {
464
    "ExecuteTime": {
465
     "end_time": "2019-08-09T11:56:28.435745Z",
466
     "start_time": "2019-08-09T11:56:27.214321Z"
467
    }
468
   },
469
   "outputs": [],
470
   "source": [
471
    "# fig, ax = plt.subplots(1, 2, figsize=(15, 15))\n",
472
    "# sns.barplot(x='score', y='markers', data=pos_df, color='b', ax=ax[0])\n",
473
    "# sns.barplot(x='score', y='markers', data=neg_df, color='b', ax=ax[1])\n",
474
    "# ax[0].set_xlabel('')\n",
475
    "# ax[1].set_xlabel('')\n",
476
    "# ax[1].set_ylabel('')\n",
477
    "\n",
478
    "# plt.subplots_adjust(wspace = 0.3)\n",
479
    "# fig.text(0.5, 0.1, 'Score', ha='center')"
480
   ]
481
  },
482
  {
483
   "cell_type": "code",
484
   "execution_count": 15,
485
   "metadata": {
486
    "ExecuteTime": {
487
     "end_time": "2019-08-08T23:20:26.774675Z",
488
     "start_time": "2019-08-08T23:20:26.750754Z"
489
    }
490
   },
491
   "outputs": [],
492
   "source": [
493
    "# scores = clf.feature_importances_\n",
494
    "\n",
495
    "# fig, ax = plt.subplots(1, 2, figsize=(20, 10))\n",
496
    "# neg_cloud, pos_cloud = get_wordcloud(vectorizer.get_feature_names(), scores, n_words=50)\n",
497
    "# ax[0].imshow(neg_cloud)\n",
498
    "# ax[0].axis('off')\n",
499
    "# ax[0].set_title('Delayed')\n",
500
    "# ax[1].imshow(pos_cloud)\n",
501
    "# ax[1].axis('off')\n",
502
    "# ax[1].set_title('Imminent')"
503
   ]
504
  },
505
  {
506
   "cell_type": "markdown",
507
   "metadata": {},
508
   "source": [
509
    "### Prolonged ICU Stay"
510
   ]
511
  },
512
  {
513
   "cell_type": "code",
514
   "execution_count": 18,
515
   "metadata": {
516
    "ExecuteTime": {
517
     "end_time": "2019-08-08T23:21:06.522560Z",
518
     "start_time": "2019-08-08T23:21:06.125835Z"
519
    }
520
   },
521
   "outputs": [],
522
   "source": [
523
    "df = set_group_splits(ps_df.copy(), group_col='hadm_id', seed=seed)\n",
524
    "vectorizer = TfidfVectorizer(sublinear_tf=True, ngram_range=(1,2), binary=True, max_features=60_000)"
525
   ]
526
  },
527
  {
528
   "cell_type": "code",
529
   "execution_count": 19,
530
   "metadata": {
531
    "ExecuteTime": {
532
     "end_time": "2019-08-08T23:21:40.165089Z",
533
     "start_time": "2019-08-08T23:21:09.062731Z"
534
    }
535
   },
536
   "outputs": [
537
    {
538
     "data": {
539
      "text/plain": [
540
       "((60830, 4), (51844, 60000), (8986, 60000), (51844,), (8986,))"
541
      ]
542
     },
543
     "execution_count": 19,
544
     "metadata": {},
545
     "output_type": "execute_result"
546
    }
547
   ],
548
   "source": [
549
    "x_train = vectorizer.fit_transform(df.loc[(df['split'] == 'train')]['processed_note'])\n",
550
    "x_test = vectorizer.transform(df.loc[(df['split'] == 'test')]['processed_note'])\n",
551
    "y_train = df.loc[(df['split'] == 'train')]['prolonged_stay_label'].to_numpy()\n",
552
    "y_test = df.loc[(df['split'] == 'test')]['prolonged_stay_label'].to_numpy()\n",
553
    "df.shape, x_train.shape, x_test.shape, y_train.shape, y_test.shape"
554
   ]
555
  },
556
  {
557
   "cell_type": "code",
558
   "execution_count": 20,
559
   "metadata": {
560
    "ExecuteTime": {
561
     "end_time": "2019-08-08T23:21:40.211108Z",
562
     "start_time": "2019-08-08T23:21:40.167699Z"
563
    }
564
   },
565
   "outputs": [],
566
   "source": [
567
    "params = {\n",
568
    "  \"class_weight\": 'balanced',\n",
569
    "  \"criterion\": \"entropy\",\n",
570
    "  \"max_features\": 0.114,\n",
571
    "  \"min_samples_leaf\": 5,\n",
572
    "  \"min_samples_split\": 3,\n",
573
    "  \"n_estimators\": 116,\n",
574
    "  \"oob_score\": True\n",
575
    "}"
576
   ]
577
  },
578
  {
579
   "cell_type": "code",
580
   "execution_count": 21,
581
   "metadata": {
582
    "ExecuteTime": {
583
     "end_time": "2019-08-08T23:24:56.535336Z",
584
     "start_time": "2019-08-08T23:21:40.213324Z"
585
    }
586
   },
587
   "outputs": [],
588
   "source": [
589
    "clf = RandomForestClassifier(**params, n_jobs=32)\n",
590
    "clf.fit(x_train, y_train)\n",
591
    "prob = clf.predict_proba(x_test)[:, 1]"
592
   ]
593
  },
594
  {
595
   "cell_type": "code",
596
   "execution_count": 22,
597
   "metadata": {
598
    "ExecuteTime": {
599
     "end_time": "2019-08-08T23:24:57.519383Z",
600
     "start_time": "2019-08-08T23:24:56.537597Z"
601
    }
602
   },
603
   "outputs": [
604
    {
605
     "data": {
606
      "image/png": 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\n",
607
      "text/plain": [
608
       "<Figure size 1440x720 with 1 Axes>"
609
      ]
610
     },
611
     "metadata": {
612
      "needs_background": "light"
613
     },
614
     "output_type": "display_data"
615
    }
616
   ],
617
   "source": [
618
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
619
    "plot_youden(ax, y_test, prob, 0.1, 0.9, 40)"
620
   ]
621
  },
622
  {
623
   "cell_type": "code",
624
   "execution_count": 23,
625
   "metadata": {
626
    "ExecuteTime": {
627
     "end_time": "2019-08-08T23:25:02.724293Z",
628
     "start_time": "2019-08-08T23:25:01.328916Z"
629
    }
630
   },
631
   "outputs": [
632
    {
633
     "data": {
634
      "image/png": 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\n",
635
      "text/plain": [
636
       "<Figure size 1440x720 with 1 Axes>"
637
      ]
638
     },
639
     "metadata": {
640
      "needs_background": "light"
641
     },
642
     "output_type": "display_data"
643
    }
644
   ],
645
   "source": [
646
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
647
    "plot_thresh_range(ax, y_test, prob, 0.1, 0.9, 40)"
648
   ]
649
  },
650
  {
651
   "cell_type": "code",
652
   "execution_count": 24,
653
   "metadata": {
654
    "ExecuteTime": {
655
     "end_time": "2019-08-08T23:25:13.132582Z",
656
     "start_time": "2019-08-08T23:25:12.909328Z"
657
    }
658
   },
659
   "outputs": [
660
    {
661
     "data": {
662
      "image/png": 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\n",
663
      "text/plain": [
664
       "<Figure size 720x576 with 1 Axes>"
665
      ]
666
     },
667
     "metadata": {
668
      "needs_background": "light"
669
     },
670
     "output_type": "display_data"
671
    }
672
   ],
673
   "source": [
674
    "fig, ax = plt.subplots(figsize=(10,8))\n",
675
    "plot_roc(ax, y_test, prob)"
676
   ]
677
  },
678
  {
679
   "cell_type": "code",
680
   "execution_count": 28,
681
   "metadata": {
682
    "ExecuteTime": {
683
     "end_time": "2019-08-08T23:26:13.400003Z",
684
     "start_time": "2019-08-08T23:26:13.351652Z"
685
    }
686
   },
687
   "outputs": [
688
    {
689
     "data": {
690
      "text/html": [
691
       "<div>\n",
692
       "<style scoped>\n",
693
       "    .dataframe tbody tr th:only-of-type {\n",
694
       "        vertical-align: middle;\n",
695
       "    }\n",
696
       "\n",
697
       "    .dataframe tbody tr th {\n",
698
       "        vertical-align: top;\n",
699
       "    }\n",
700
       "\n",
701
       "    .dataframe thead th {\n",
702
       "        text-align: right;\n",
703
       "    }\n",
704
       "</style>\n",
705
       "<table border=\"1\" class=\"dataframe\">\n",
706
       "  <thead>\n",
707
       "    <tr style=\"text-align: right;\">\n",
708
       "      <th></th>\n",
709
       "      <th>Value</th>\n",
710
       "    </tr>\n",
711
       "  </thead>\n",
712
       "  <tbody>\n",
713
       "    <tr>\n",
714
       "      <th>sensitivity</th>\n",
715
       "      <td>0.715</td>\n",
716
       "    </tr>\n",
717
       "    <tr>\n",
718
       "      <th>specificity</th>\n",
719
       "      <td>0.443</td>\n",
720
       "    </tr>\n",
721
       "    <tr>\n",
722
       "      <th>ppv</th>\n",
723
       "      <td>0.384</td>\n",
724
       "    </tr>\n",
725
       "    <tr>\n",
726
       "      <th>npv</th>\n",
727
       "      <td>0.762</td>\n",
728
       "    </tr>\n",
729
       "    <tr>\n",
730
       "      <th>f1</th>\n",
731
       "      <td>0.500</td>\n",
732
       "    </tr>\n",
733
       "    <tr>\n",
734
       "      <th>auroc</th>\n",
735
       "      <td>0.604</td>\n",
736
       "    </tr>\n",
737
       "  </tbody>\n",
738
       "</table>\n",
739
       "</div>"
740
      ],
741
      "text/plain": [
742
       "             Value\n",
743
       "sensitivity  0.715\n",
744
       "specificity  0.443\n",
745
       "ppv          0.384\n",
746
       "npv          0.762\n",
747
       "f1           0.500\n",
748
       "auroc        0.604"
749
      ]
750
     },
751
     "execution_count": 28,
752
     "metadata": {},
753
     "output_type": "execute_result"
754
    }
755
   ],
756
   "source": [
757
    "threshold = 0.37\n",
758
    "y_pred = (prob > threshold).astype(np.int64)\n",
759
    "cm = confusion_matrix(y_test, y_pred)\n",
760
    "tn,fp,fn,tp = cm[0][0],cm[0][1],cm[1][0],cm[1][1]\n",
761
    "sensitivity = tp/(tp+fn)\n",
762
    "specificity = tn/(tn+fp)\n",
763
    "ppv = tp/(tp+fp)\n",
764
    "npv = tn/(tn+fn)\n",
765
    "f1 = (2*ppv*sensitivity)/(ppv+sensitivity)\n",
766
    "auroc = roc_auc_score(y_test, prob)\n",
767
    "\n",
768
    "d = {\n",
769
    "  'sensitivity': np.round(sensitivity, 3),\n",
770
    "  'specificity': np.round(specificity, 3),\n",
771
    "  'ppv': np.round(ppv, 3),\n",
772
    "  'npv': np.round(npv, 3),\n",
773
    "  'f1': np.round(f1, 3),\n",
774
    "  'auroc': np.round(auroc, 3),\n",
775
    "}\n",
776
    "\n",
777
    "metrics = pd.DataFrame(d.values(), index=d.keys(), columns=['Value'])\n",
778
    "metrics"
779
   ]
780
  },
781
  {
782
   "cell_type": "code",
783
   "execution_count": 26,
784
   "metadata": {
785
    "ExecuteTime": {
786
     "end_time": "2019-08-08T23:25:36.190259Z",
787
     "start_time": "2019-08-08T23:25:35.963309Z"
788
    }
789
   },
790
   "outputs": [
791
    {
792
     "data": {
793
      "image/png": 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\n",
794
      "text/plain": [
795
       "<Figure size 720x576 with 2 Axes>"
796
      ]
797
     },
798
     "metadata": {
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      "needs_background": "light"
800
     },
801
     "output_type": "display_data"
802
    }
803
   ],
804
   "source": [
805
    "fig, ax = plt.subplots(figsize=(10, 8))\n",
806
    "plot_confusion_matrix(ax, cm, classes=['Short Stay', 'Prolonged Stay'], normalize=False, title='Confusion matrix')"
807
   ]
808
  },
809
  {
810
   "cell_type": "code",
811
   "execution_count": null,
812
   "metadata": {
813
    "ExecuteTime": {
814
     "end_time": "2019-07-10T10:17:38.859140Z",
815
     "start_time": "2019-07-10T10:17:37.945606Z"
816
    }
817
   },
818
   "outputs": [],
819
   "source": [
820
    "# scores = clf.feature_importances_ / clf.feature_importances_.sum()\n",
821
    "\n",
822
    "# fig, ax = plt.subplots(1, 2, figsize=(20, 10))\n",
823
    "# neg_cloud, pos_cloud = get_wordcloud(vectorizer.get_feature_names(), scores, n_words=50)\n",
824
    "# ax[0].imshow(neg_cloud)\n",
825
    "# ax[0].axis('off')\n",
826
    "# ax[0].set_title('Short Stay')\n",
827
    "# ax[1].imshow(pos_cloud)\n",
828
    "# ax[1].axis('off')\n",
829
    "# ax[1].set_title('Prolonged Stay')"
830
   ]
831
  },
832
  {
833
   "cell_type": "markdown",
834
   "metadata": {},
835
   "source": [
836
    "## Metrics"
837
   ]
838
  },
839
  {
840
   "cell_type": "markdown",
841
   "metadata": {},
842
   "source": [
843
    "Taken from [here](https://www.dataschool.io/simple-guide-to-confusion-matrix-terminology/):\n",
844
    "\n",
845
    "1. Prevalence: `(fn + tp) / total`\n",
846
    "2. Sensitivity: AKA recall, true positive rate `tp / (tp + fn)`\n",
847
    "3. Specificity: AKA true negative rate `tn / (tn + fp)`\n",
848
    "4. Positive Predictive Value (PPV): AKA precision `tp / (tp + fp)`\n",
849
    "5. Negative Predictive Value (NPV): `tn / (tn + fn)`"
850
   ]
851
  },
852
  {
853
   "cell_type": "markdown",
854
   "metadata": {},
855
   "source": [
856
    "### Imminent ICU Admission"
857
   ]
858
  },
859
  {
860
   "cell_type": "code",
861
   "execution_count": null,
862
   "metadata": {
863
    "ExecuteTime": {
864
     "end_time": "2019-07-10T10:17:39.323692Z",
865
     "start_time": "2019-07-10T10:17:38.860276Z"
866
    }
867
   },
868
   "outputs": [],
869
   "source": [
870
    "with open(args.workdir/f'imminent_adm_preds.pkl', 'rb') as f:\n",
871
    "  targs = pickle.load(f)\n",
872
    "  preds = pickle.load(f)\n",
873
    "  probs = pickle.load(f)\n",
874
    "\n",
875
    "fnames = [f'imminent_adm_seed_{seed}.pkl' for seed in range(args.start_seed, args.start_seed + 100)]\n",
876
    "bam = BinaryAvgMetrics(targs, preds, probs)"
877
   ]
878
  },
879
  {
880
   "cell_type": "code",
881
   "execution_count": null,
882
   "metadata": {
883
    "ExecuteTime": {
884
     "end_time": "2019-07-10T10:17:39.528980Z",
885
     "start_time": "2019-07-10T10:17:39.326071Z"
886
    }
887
   },
888
   "outputs": [],
889
   "source": [
890
    "bam.get_avg_metrics(conf=0.95)"
891
   ]
892
  },
893
  {
894
   "cell_type": "code",
895
   "execution_count": null,
896
   "metadata": {
897
    "ExecuteTime": {
898
     "end_time": "2019-07-10T10:17:39.730080Z",
899
     "start_time": "2019-07-10T10:17:39.530308Z"
900
    }
901
   },
902
   "outputs": [],
903
   "source": [
904
    "get_best_model(bam, fnames)"
905
   ]
906
  },
907
  {
908
   "cell_type": "code",
909
   "execution_count": null,
910
   "metadata": {
911
    "ExecuteTime": {
912
     "end_time": "2019-07-10T10:17:39.998801Z",
913
     "start_time": "2019-07-10T10:17:39.731150Z"
914
    }
915
   },
916
   "outputs": [],
917
   "source": [
918
    "fig, ax = plt.subplots(figsize=(10, 8))\n",
919
    "plot_mean_roc(ax, bam.targs, bam.probs)"
920
   ]
921
  },
922
  {
923
   "cell_type": "code",
924
   "execution_count": null,
925
   "metadata": {
926
    "ExecuteTime": {
927
     "end_time": "2019-07-10T10:17:40.253951Z",
928
     "start_time": "2019-07-10T10:17:39.999923Z"
929
    }
930
   },
931
   "outputs": [],
932
   "source": [
933
    "fig, ax = plt.subplots(1, 2, figsize=(15, 6))\n",
934
    "\n",
935
    "plot_confusion_matrix(ax[0], bam.cm_avg, classes=['not imminent', 'imminent'], normalize=False,\\\n",
936
    "                      title='Confusion Matrix Over Runs')\n",
937
    "plot_confusion_matrix(ax[1], bam.cm_avg, classes=['not imminent', 'imminent'], normalize=True,\\\n",
938
    "                      title='Normalized Confusion Matrix Over Runs')\n",
939
    "plt.show()"
940
   ]
941
  },
942
  {
943
   "cell_type": "markdown",
944
   "metadata": {},
945
   "source": [
946
    "### Prolonged ICU Stay"
947
   ]
948
  },
949
  {
950
   "cell_type": "code",
951
   "execution_count": null,
952
   "metadata": {
953
    "ExecuteTime": {
954
     "end_time": "2019-07-10T10:17:40.781362Z",
955
     "start_time": "2019-07-10T10:17:40.255048Z"
956
    }
957
   },
958
   "outputs": [],
959
   "source": [
960
    "with open(args.workdir/f'prolonged_stay_preds.pkl', 'rb') as f:\n",
961
    "  targs = pickle.load(f)\n",
962
    "  preds = pickle.load(f)\n",
963
    "  probs = pickle.load(f)\n",
964
    "\n",
965
    "fnames = [f'prolonged_stay_seed_{seed}.pkl' for seed in range(args.start_seed, args.start_seed + 100)]\n",
966
    "bam = BinaryAvgMetrics(targs, preds, probs)"
967
   ]
968
  },
969
  {
970
   "cell_type": "code",
971
   "execution_count": null,
972
   "metadata": {
973
    "ExecuteTime": {
974
     "end_time": "2019-07-10T10:17:41.005931Z",
975
     "start_time": "2019-07-10T10:17:40.782559Z"
976
    }
977
   },
978
   "outputs": [],
979
   "source": [
980
    "bam.get_avg_metrics(conf=0.95)"
981
   ]
982
  },
983
  {
984
   "cell_type": "code",
985
   "execution_count": null,
986
   "metadata": {
987
    "ExecuteTime": {
988
     "end_time": "2019-07-10T10:17:41.227455Z",
989
     "start_time": "2019-07-10T10:17:41.007006Z"
990
    }
991
   },
992
   "outputs": [],
993
   "source": [
994
    "get_best_model(bam, fnames)"
995
   ]
996
  },
997
  {
998
   "cell_type": "code",
999
   "execution_count": null,
1000
   "metadata": {
1001
    "ExecuteTime": {
1002
     "end_time": "2019-07-10T10:17:41.512226Z",
1003
     "start_time": "2019-07-10T10:17:41.228505Z"
1004
    }
1005
   },
1006
   "outputs": [],
1007
   "source": [
1008
    "fig, ax = plt.subplots(figsize=(10, 8))\n",
1009
    "plot_mean_roc(ax, bam.targs, bam.probs)"
1010
   ]
1011
  },
1012
  {
1013
   "cell_type": "code",
1014
   "execution_count": null,
1015
   "metadata": {
1016
    "ExecuteTime": {
1017
     "end_time": "2019-07-10T10:17:41.768851Z",
1018
     "start_time": "2019-07-10T10:17:41.513311Z"
1019
    }
1020
   },
1021
   "outputs": [],
1022
   "source": [
1023
    "fig, ax = plt.subplots(1, 2, figsize=(15, 6))\n",
1024
    "\n",
1025
    "plot_confusion_matrix(ax[0], bam.cm_avg, classes=['Discharge within 5 days', 'Discharge after 5 days'], normalize=False, title='Confusion Matrix Over Runs')\n",
1026
    "plot_confusion_matrix(ax[1], bam.cm_avg, classes=['Discharge within 5 days', 'Discharge after 5 days'], normalize=True, title='Normalized Confusion Matrix Over Runs')\n",
1027
    "plt.show()"
1028
   ]
1029
  },
1030
  {
1031
   "cell_type": "markdown",
1032
   "metadata": {},
1033
   "source": [
1034
    "## Full Run"
1035
   ]
1036
  },
1037
  {
1038
   "cell_type": "code",
1039
   "execution_count": null,
1040
   "metadata": {
1041
    "ExecuteTime": {
1042
     "end_time": "2019-07-10T10:17:43.525559Z",
1043
     "start_time": "2019-07-10T10:17:41.769958Z"
1044
    }
1045
   },
1046
   "outputs": [],
1047
   "source": [
1048
    "seed = 643\n",
1049
    "ori_df = pd.read_csv(args.dataset_csv, usecols=args.cols, parse_dates=args.dates)\n",
1050
    "ori_df['relative_charttime'] = (ori_df['charttime'] - ori_df['intime'])\n",
1051
    "\n",
1052
    "ia_df = ori_df.loc[(ori_df['imminent_adm_label'] != -1)][args.imminent_adm_cols + ['relative_charttime']].reset_index(drop=True)\n",
1053
    "\n",
1054
    "ps_df = ori_df.loc[(ori_df['chartinterval'] != 0)][args.prolonged_stay_cols + ['relative_charttime']].reset_index(drop=True)"
1055
   ]
1056
  },
1057
  {
1058
   "cell_type": "code",
1059
   "execution_count": null,
1060
   "metadata": {
1061
    "ExecuteTime": {
1062
     "end_time": "2019-07-10T10:17:43.552253Z",
1063
     "start_time": "2019-07-10T10:17:43.526913Z"
1064
    }
1065
   },
1066
   "outputs": [],
1067
   "source": [
1068
    "interval_hours = 12\n",
1069
    "starting_day = -20\n",
1070
    "ending_day = -1"
1071
   ]
1072
  },
1073
  {
1074
   "cell_type": "markdown",
1075
   "metadata": {},
1076
   "source": [
1077
    "### Imminent ICU Admission"
1078
   ]
1079
  },
1080
  {
1081
   "cell_type": "code",
1082
   "execution_count": null,
1083
   "metadata": {
1084
    "ExecuteTime": {
1085
     "end_time": "2019-07-10T10:17:49.859778Z",
1086
     "start_time": "2019-07-10T10:17:43.553406Z"
1087
    }
1088
   },
1089
   "outputs": [],
1090
   "source": [
1091
    "df = set_group_splits(ia_df.copy(), pct=0.25, group_col='hadm_id', seed=seed)\n",
1092
    "df['prob'] = -1\n",
1093
    "\n",
1094
    "vectorizer = TfidfVectorizer(min_df=args.min_freq, analyzer=str.split, sublinear_tf=True, ngram_range=(2,2))\n",
1095
    "x_train = vectorizer.fit_transform(df.loc[(df['split'] == 'train')]['processed_note'])\n",
1096
    "x_test = vectorizer.transform(df.loc[(df['split'] == 'test')]['processed_note'])\n",
1097
    "y_train = df.loc[(df['split'] == 'train')]['imminent_adm_label'].to_numpy()\n",
1098
    "y_test = df.loc[(df['split'] == 'test')]['imminent_adm_label'].to_numpy()\n",
1099
    "df.shape, x_train.shape, x_test.shape, y_train.shape, y_test.shape"
1100
   ]
1101
  },
1102
  {
1103
   "cell_type": "code",
1104
   "execution_count": null,
1105
   "metadata": {
1106
    "ExecuteTime": {
1107
     "end_time": "2019-07-10T10:18:27.264966Z",
1108
     "start_time": "2019-07-10T10:17:49.861234Z"
1109
    }
1110
   },
1111
   "outputs": [],
1112
   "source": [
1113
    "from args import ia_params\n",
1114
    "clf = RandomForestClassifier(**ia_params)\n",
1115
    "\n",
1116
    "clf.fit(x_train, y_train)\n",
1117
    "df.loc[(df['split'] == 'test'), 'prob'] = clf.predict_proba(x_test)[:, 1]"
1118
   ]
1119
  },
1120
  {
1121
   "cell_type": "code",
1122
   "execution_count": null,
1123
   "metadata": {
1124
    "ExecuteTime": {
1125
     "end_time": "2019-07-10T10:18:29.158419Z",
1126
     "start_time": "2019-07-10T10:18:27.266771Z"
1127
    }
1128
   },
1129
   "outputs": [],
1130
   "source": [
1131
    "fig, ax = plt.subplots(figsize=(15, 8))\n",
1132
    "plot_prob(ax, df.loc[(df['split'] == 'test')], args.ia_thresh, starting_day, ending_day, interval_hours)"
1133
   ]
1134
  },
1135
  {
1136
   "cell_type": "code",
1137
   "execution_count": null,
1138
   "metadata": {
1139
    "ExecuteTime": {
1140
     "end_time": "2019-07-10T10:18:29.446963Z",
1141
     "start_time": "2019-07-10T10:18:29.159766Z"
1142
    }
1143
   },
1144
   "outputs": [],
1145
   "source": [
1146
    "scores = clf.feature_importances_ / clf.feature_importances_.sum()"
1147
   ]
1148
  },
1149
  {
1150
   "cell_type": "code",
1151
   "execution_count": null,
1152
   "metadata": {
1153
    "ExecuteTime": {
1154
     "end_time": "2019-07-10T10:18:30.148840Z",
1155
     "start_time": "2019-07-10T10:18:29.448268Z"
1156
    }
1157
   },
1158
   "outputs": [],
1159
   "source": [
1160
    "fig, ax = plt.subplots(1, 2, figsize=(20, 10))\n",
1161
    "neg_cloud, pos_cloud = get_wordcloud(vectorizer.get_feature_names(), clf.feature_importances_, n_words=50)\n",
1162
    "ax[0].imshow(neg_cloud)\n",
1163
    "ax[0].axis('off')\n",
1164
    "ax[0].set_title('Negative Class')\n",
1165
    "ax[1].imshow(pos_cloud)\n",
1166
    "ax[1].axis('off')\n",
1167
    "ax[1].set_title('Positive Class')"
1168
   ]
1169
  },
1170
  {
1171
   "cell_type": "markdown",
1172
   "metadata": {},
1173
   "source": [
1174
    "### ICU Dishcarge"
1175
   ]
1176
  },
1177
  {
1178
   "cell_type": "code",
1179
   "execution_count": null,
1180
   "metadata": {
1181
    "ExecuteTime": {
1182
     "end_time": "2019-07-10T10:18:37.874353Z",
1183
     "start_time": "2019-07-10T10:18:30.150040Z"
1184
    }
1185
   },
1186
   "outputs": [],
1187
   "source": [
1188
    "df = set_group_splits(ps_df.copy(), pct=0.25, group_col='hadm_id', seed=seed)\n",
1189
    "df['prob'] = -1\n",
1190
    "\n",
1191
    "vectorizer = TfidfVectorizer(min_df=args.min_freq, analyzer=str.split, sublinear_tf=True, ngram_range=(2,2))\n",
1192
    "x_train = vectorizer.fit_transform(df.loc[(df['split'] == 'train')]['processed_note'])\n",
1193
    "x_test = vectorizer.transform(df.loc[(df['split'] == 'test')]['processed_note'])\n",
1194
    "y_train = df.loc[(df['split'] == 'train')]['prolonged_stay_label'].to_numpy()\n",
1195
    "y_test = df.loc[(df['split'] == 'test')]['prolonged_stay_label'].to_numpy()\n",
1196
    "df.shape, x_train.shape, x_test.shape, y_train.shape, y_test.shape"
1197
   ]
1198
  },
1199
  {
1200
   "cell_type": "code",
1201
   "execution_count": null,
1202
   "metadata": {
1203
    "ExecuteTime": {
1204
     "end_time": "2019-07-10T10:19:50.193365Z",
1205
     "start_time": "2019-07-10T10:18:37.876513Z"
1206
    }
1207
   },
1208
   "outputs": [],
1209
   "source": [
1210
    "from args import ps_params\n",
1211
    "clf = RandomForestClassifier(**ps_params)\n",
1212
    "\n",
1213
    "clf.fit(x_train, y_train)\n",
1214
    "df.loc[(df['split'] == 'test'), 'prob'] = clf.predict_proba(x_test)[:, 1]"
1215
   ]
1216
  },
1217
  {
1218
   "cell_type": "code",
1219
   "execution_count": null,
1220
   "metadata": {
1221
    "ExecuteTime": {
1222
     "end_time": "2019-07-10T10:29:15.487937Z",
1223
     "start_time": "2019-07-10T10:29:12.772160Z"
1224
    }
1225
   },
1226
   "outputs": [],
1227
   "source": [
1228
    "fig, ax = plt.subplots(figsize=(15, 8))\n",
1229
    "plot_prob(ax, df.loc[(df['split'] == 'test')], args.ps_thresh, starting_day, ending_day, interval_hours)"
1230
   ]
1231
  },
1232
  {
1233
   "cell_type": "code",
1234
   "execution_count": null,
1235
   "metadata": {
1236
    "ExecuteTime": {
1237
     "end_time": "2019-07-10T10:19:53.173488Z",
1238
     "start_time": "2019-07-10T10:19:52.878894Z"
1239
    }
1240
   },
1241
   "outputs": [],
1242
   "source": [
1243
    "scores = clf.feature_importances_ / clf.feature_importances_.sum()"
1244
   ]
1245
  },
1246
  {
1247
   "cell_type": "code",
1248
   "execution_count": null,
1249
   "metadata": {
1250
    "ExecuteTime": {
1251
     "end_time": "2019-07-10T10:19:53.806473Z",
1252
     "start_time": "2019-07-10T10:19:53.175186Z"
1253
    }
1254
   },
1255
   "outputs": [],
1256
   "source": [
1257
    "fig, ax = plt.subplots(1, 2, figsize=(20, 10))\n",
1258
    "neg_cloud, pos_cloud = get_wordcloud(vectorizer.get_feature_names(), clf.feature_importances_, n_words=50)\n",
1259
    "ax[0].imshow(neg_cloud)\n",
1260
    "ax[0].axis('off')\n",
1261
    "ax[0].set_title('Negative Class')\n",
1262
    "ax[1].imshow(pos_cloud)\n",
1263
    "ax[1].axis('off')\n",
1264
    "ax[1].set_title('Positive Class')"
1265
   ]
1266
  }
1267
 ],
1268
 "metadata": {
1269
  "kernelspec": {
1270
   "display_name": "Python 3",
1271
   "language": "python",
1272
   "name": "python3"
1273
  },
1274
  "language_info": {
1275
   "codemirror_mode": {
1276
    "name": "ipython",
1277
    "version": 3
1278
   },
1279
   "file_extension": ".py",
1280
   "mimetype": "text/x-python",
1281
   "name": "python",
1282
   "nbconvert_exporter": "python",
1283
   "pygments_lexer": "ipython3",
1284
   "version": "3.7.3"
1285
  },
1286
  "toc": {
1287
   "base_numbering": 1,
1288
   "nav_menu": {},
1289
   "number_sections": true,
1290
   "sideBar": true,
1291
   "skip_h1_title": true,
1292
   "title_cell": "Table of Contents",
1293
   "title_sidebar": "Contents",
1294
   "toc_cell": false,
1295
   "toc_position": {
1296
    "height": "calc(100% - 180px)",
1297
    "left": "10px",
1298
    "top": "150px",
1299
    "width": "384px"
1300
   },
1301
   "toc_section_display": true,
1302
   "toc_window_display": false
1303
  }
1304
 },
1305
 "nbformat": 4,
1306
 "nbformat_minor": 2
1307
}