# EPOCH '24 — Data

来源：https://www.kaggle.com/competitions/epoch-24/data

采集时间：2026-10-20T02:57:44Z

This dataset provides you with various readings and monitoring values. Use the training dataset to make a prediction model and then use it to make predictions on the test.csv dataset, you may refer to the sample_submission.csv to see how your final csv file should look like.

## Files

*   **train.csv** - the training set
*   **test.csv** - the test set
*   **sample_submission.csv** - a sample submission file in the correct format

## Columns

*   `ID` - ID of the patient
*   `age` - Age of the patient
*   `sex` - Gender of the patient
*   `myocardial_infarctions_anamnesis` - Quantity of heart attacks in the anamnesis
*   `Exertional_angina_pectoris_anamnesis` - Exertional angina pectoris in the anamnesis. 0: never 1: during the last year 2: one year ago etc
*   `FC_of_angina_pectoris` - Functional class of angina pectoris in the last year
*   `Coronary_heart_disease(CHD)` - CHD in recent weeks
*   `atr_fib` - Atrial fibrillation
*   `supr_tach` - Supraventricular tachycardia
*   `ven_tach` - Ventricular tachycardia
*   `ven_fib` - Ventricular fibrillation
*   `th_d_av` - Third-degree AV block
*   `pul_ede` - Pulmonary edema
*   `myo_rup` - Myocardial rupture
*   `dres_syn` - Dressler syndrome
*   `ch_hf` - Chronic heart failure
*   `re_myin` - Relapse of the myocardial infarction
*   `p_inf_ang` - Post-infarction angina
*   etc.