ICD_codes_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from collections import Counter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data = pd.read_csv('~/Downloads/data/train_50.csv')\n",
    "val_data = pd.read_csv('~/Downloads/data/dev_50.csv')\n",
    "test_data = pd.read_csv('~/Downloads/data/test_50.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_labels = train_data['LABELS']\n",
    "val_labels = val_data['LABELS']\n",
    "test_labels = test_data['LABELS']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_labels = ';'.join([';'.join(train_labels), ';'.join(val_labels), ';'.join(test_labels)]).split(';')\n",
    "all_chapters = [elem.split('.')[0] for elem in all_labels]\n",
    "label_counter = Counter(all_labels)\n",
    "ch_counter = Counter(all_chapters)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('401.9', 4719),\n",
       " ('38.93', 2874),\n",
       " ('428.0', 2874),\n",
       " ('427.31', 2858),\n",
       " ('414.01', 2744),\n",
       " ('272.4', 2282),\n",
       " ('584.9', 2102),\n",
       " ('250.00', 2045),\n",
       " ('96.04', 2042),\n",
       " ('96.6', 1978),\n",
       " ('96.71', 1937),\n",
       " ('518.81', 1695),\n",
       " ('599.0', 1532),\n",
       " ('39.61', 1530),\n",
       " ('530.81', 1489),\n",
       " ('99.04', 1392),\n",
       " ('285.9', 1309),\n",
       " ('96.72', 1296),\n",
       " ('272.0', 1232),\n",
       " ('244.9', 1151),\n",
       " ('285.1', 1118),\n",
       " ('486', 1098),\n",
       " ('88.56', 1092),\n",
       " ('276.2', 1057),\n",
       " ('38.91', 1050),\n",
       " ('36.15', 992),\n",
       " ('V58.61', 961),\n",
       " ('496', 936),\n",
       " ('995.92', 912),\n",
       " ('403.90', 890),\n",
       " ('99.15', 882),\n",
       " ('311', 868),\n",
       " ('585.9', 866),\n",
       " ('305.1', 852),\n",
       " ('038.9', 832),\n",
       " ('276.1', 778),\n",
       " ('507.0', 766),\n",
       " ('287.5', 747),\n",
       " ('V15.82', 741),\n",
       " ('88.72', 710),\n",
       " ('412', 710),\n",
       " ('39.95', 709),\n",
       " ('V45.81', 683),\n",
       " ('410.71', 682),\n",
       " ('37.22', 678),\n",
       " ('33.24', 630),\n",
       " ('424.0', 627),\n",
       " ('511.9', 601),\n",
       " ('45.13', 584),\n",
       " ('37.23', 546)]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "counter.most_common()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('96', 7253),\n",
       " ('401', 4719),\n",
       " ('38', 3924),\n",
       " ('272', 3514),\n",
       " ('428', 2874),\n",
       " ('427', 2858),\n",
       " ('414', 2744),\n",
       " ('285', 2427),\n",
       " ('99', 2274),\n",
       " ('39', 2239),\n",
       " ('584', 2102),\n",
       " ('250', 2045),\n",
       " ('276', 1835),\n",
       " ('88', 1802),\n",
       " ('518', 1695),\n",
       " ('599', 1532),\n",
       " ('530', 1489),\n",
       " ('37', 1224),\n",
       " ('244', 1151),\n",
       " ('486', 1098),\n",
       " ('36', 992),\n",
       " ('V58', 961),\n",
       " ('496', 936),\n",
       " ('995', 912),\n",
       " ('403', 890),\n",
       " ('311', 868),\n",
       " ('585', 866),\n",
       " ('305', 852),\n",
       " ('038', 832),\n",
       " ('507', 766),\n",
       " ('287', 747),\n",
       " ('V15', 741),\n",
       " ('412', 710),\n",
       " ('V45', 683),\n",
       " ('410', 682),\n",
       " ('33', 630),\n",
       " ('424', 627),\n",
       " ('511', 601),\n",
       " ('45', 584)]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ch_counter.most_common()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "counts = [('96', 7253),\n",
    " ('401', 4719),\n",
    " ('38', 3924),\n",
    " ('272', 3514),\n",
    " ('428', 2874),\n",
    " ('427', 2858),\n",
    " ('414', 2744),\n",
    " ('285', 2427),\n",
    " ('99', 2274),\n",
    " ('39', 2239),\n",
    " ('584', 2102),\n",
    " ('250', 2045),\n",
    " ('276', 1835),\n",
    " ('88', 1802),\n",
    " ('518', 1695),\n",
    " ('599', 1532),\n",
    " ('530', 1489),\n",
    " ('37', 1224),\n",
    " ('244', 1151),\n",
    " ('486', 1098),\n",
    " ('36', 992),\n",
    " ('V58', 961),\n",
    " ('496', 936),\n",
    " ('995', 912),\n",
    " ('403', 890),\n",
    " ('311', 868),\n",
    " ('585', 866),\n",
    " ('305', 852),\n",
    " ('038', 832),\n",
    " ('507', 766),\n",
    " ('287', 747),\n",
    " ('V15', 741),\n",
    " ('412', 710),\n",
    " ('V45', 683),\n",
    " ('410', 682),\n",
    " ('33', 630),\n",
    " ('424', 627),\n",
    " ('511', 601),\n",
    " ('45', 584)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "freqs = [elem[1] for elem in counts]\n",
    "ticks = [elem[0] for elem in counts]\n",
    "\n",
    "plt.style.use('seaborn')\n",
    "fig, ax = plt.subplots(figsize=(10,5))\n",
    "plt.xticks(np.arange(50), ticks,rotation=40)\n",
    "ax.plot(freqs, 'black', alpha=0.7)\n",
    "plt.show()\n",
    "fig.savefig('../label_freqs.pdf', dpi=200, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x540 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ch_freqs = [elem[1] for elem in ch_counter.most_common()]\n",
    "ch_ticks = [elem[0] for elem in ch_counter.most_common()]\n",
    "\n",
    "plt.style.use('seaborn')\n",
    "ch_fig, ch_ax = plt.subplots(figsize=(25,7.5))\n",
    "plt.xticks(np.arange(50), ch_ticks,rotation=40)\n",
    "ch_ax.plot(ch_freqs, 'black', alpha=0.7)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}