108 lines (107 with data), 2.4 kB
{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"import collections\n",
"import json\n",
"import os"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"def rhythms_per_patient(data_json):\n",
" rhythms_patients = collections.defaultdict(set)\n",
" with open(data_json, 'r') as fid:\n",
" examples = [json.loads(l) for l in fid]\n",
" for ex in examples:\n",
" pid = os.path.basename(ex['ecg']).split(\"_\")[0]\n",
" for l in ex['labels']:\n",
" rhythms_patients[l].add(pid)\n",
" rs = sorted(rhythms_patients.keys())\n",
" for r in rs:\n",
" print \"{:>10} {}\".format(r, len(rhythms_patients[r]))"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Training set\n",
" AF 9313\n",
" AVB 3043\n",
" BIGEMINY 3181\n",
" EAR 4367\n",
" IVR 2572\n",
"JUNCTIONAL 2484\n",
" NOISE 10751\n",
" SINUS 33540\n",
" SVT 8228\n",
" TRIGEMINY 3119\n",
" VT 5722\n",
"WENCKEBACH 2395\n",
"Testing set\n",
" AF 59\n",
" AVB 48\n",
" BIGEMINY 22\n",
" EAR 22\n",
" IVR 34\n",
"JUNCTIONAL 36\n",
" NOISE 40\n",
" SINUS 213\n",
" SVT 34\n",
" TRIGEMINY 20\n",
" VT 17\n",
"WENCKEBACH 29\n"
]
}
],
"source": [
"print \"Training set\"\n",
"rhythms_per_patient(\"../train.json\")\n",
"print \"Testing set\"\n",
"rhythms_per_patient(\"../test.json\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.12"
}
},
"nbformat": 4,
"nbformat_minor": 2
}