281 lines (280 with data), 196.6 kB

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0f4a234e-5c22-4f69-a3a9-540f9aacd930",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sqlalchemy import create_engine\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5811196a-f992-4c5c-8c72-0eff78a11413",
   "metadata": {},
   "outputs": [],
   "source": [
    "from urllib.parse import quote_plus"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "fc5f7d42-4b2f-4fe9-bec3-e0a6b381c778",
   "metadata": {},
   "outputs": [],
   "source": [
    "password = quote_plus(\"HunnyS@1511\")\n",
    "\n",
    "# Create SQLAlchemy engine with correctly formatted connection string\n",
    "engine = create_engine(f'mysql+mysqlconnector://root:{password}@localhost/patient_readmission')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9af9b373-39cd-43c6-b18c-83fe6c3485d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "    WITH patient_medications AS (\n",
    "        SELECT \n",
    "            patient_id,\n",
    "            COUNT(DISTINCT medication_name) AS medication_count,\n",
    "            AVG(DATEDIFF(end_date, start_date)) AS avg_medication_duration\n",
    "        FROM \n",
    "            medications\n",
    "        GROUP BY \n",
    "            patient_id\n",
    "    ),\n",
    "    lab_result_averages AS (\n",
    "        SELECT \n",
    "            patient_id,\n",
    "            AVG(result_value) AS avg_lab_result\n",
    "        FROM \n",
    "            lab_results\n",
    "        GROUP BY \n",
    "            patient_id\n",
    "    ),\n",
    "    comorbidity_index AS (\n",
    "        SELECT \n",
    "            patient_id,\n",
    "            COUNT(DISTINCT icd_code) AS comorbidity_count\n",
    "        FROM \n",
    "            diagnoses\n",
    "        GROUP BY \n",
    "            patient_id\n",
    "    )\n",
    "    SELECT \n",
    "        p.patient_id,\n",
    "        p.age,\n",
    "        p.gender,\n",
    "        DATEDIFF(p.discharge_date, p.admission_date) AS length_of_stay,\n",
    "        ci.comorbidity_count,\n",
    "        pm.medication_count,\n",
    "        pm.avg_medication_duration,\n",
    "        lra.avg_lab_result,\n",
    "        r.readmission_risk\n",
    "    FROM \n",
    "        patients p\n",
    "    JOIN \n",
    "        comorbidity_index ci ON p.patient_id = ci.patient_id\n",
    "    JOIN \n",
    "        patient_medications pm ON p.patient_id = pm.patient_id\n",
    "    JOIN \n",
    "        lab_result_averages lra ON p.patient_id = lra.patient_id\n",
    "    JOIN \n",
    "        readmission_risk r ON p.patient_id = r.patient_id\n",
    "\"\"\"\n",
    "\n",
    "# Execute query and load data into DataFrame\n",
    "df = pd.read_sql(query, engine)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "501a6b71-e912-499a-b15f-b8bf0aec366a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Encode categorical variables\n",
    "df['gender'] = df['gender'].map({'Male': 0, 'Female': 1})\n",
    "\n",
    "# Convert all columns to numeric, replacing non-numeric values with NaN\n",
    "df = df.apply(pd.to_numeric, errors='coerce')\n",
    "\n",
    "# Calculate correlation matrix\n",
    "corr_matrix = df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c7b85a0c-9f96-4890-9e2f-93cc1982d0d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "sns.boxplot(x='readmission_risk', y='age', data=df)\n",
    "plt.title('Age Distribution by Readmission Risk')\n",
    "plt.show()\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9b8fdf19-e39f-4bd7-9772-16c2a3cea50d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 10))\n",
    "sns.heatmap(corr_matrix, annot=True, cmap='coolwarm', fmt='.2f')\n",
    "plt.title('Correlation Heatmap of Patient Features')\n",
    "plt.savefig('correlation_heatmap.png')\n",
    "plt.show()\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b6f11288-a2de-4af1-80da-9d45450b970f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualization 3: Length of stay vs Readmission Risk\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.boxplot(x='readmission_risk', y='length_of_stay', data=df)\n",
    "plt.title('Length of Stay vs Readmission Risk')\n",
    "plt.savefig('length_of_stay.png')\n",
    "plt.show()\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "60e25082-5eec-4f7d-842d-63264fe4a01f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualization 4: Comorbidity Count vs Readmission Risk\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.boxplot(x='readmission_risk', y='comorbidity_count', data=df)\n",
    "plt.title('Comorbidity Count vs Readmission Risk')\n",
    "plt.savefig('comorbidity_count.png')\n",
    "plt.show()\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e1197802-74ab-44e2-ab5c-4e7409a4edb3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualization 5: Medication Count vs Readmission Risk\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.boxplot(x='readmission_risk', y='medication_count', data=df)\n",
    "plt.title('Medication Count vs Readmission Risk')\n",
    "plt.savefig('medication_count.png')\n",
    "plt.show()\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8d649550-b81f-43c8-a72d-6386a6c06d77",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.18"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}