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configs:
- config_name: death
data_files:
- path: death/train.csv
split: train
default: true
language: en
license: cc
pretty_name: Heart failure
size_categories: 1M<n<10M
tags:
- tabular_classification
- binary_classification
- multiclass_classification
task_categories:
- tabular-classification
---
# Heart failure
The [Heart failure dataset](https://www.kaggle.com/datasets/andrewmvd/heart-failure-clinical-data) from Kaggle.
Predict patient death from earth failure given some personal medical data .
# Configurations and tasks
| **Configuration** | **Task** | **Description** |
|-------------------|---------------------------|-----------------------------------------------------------------|
| death | Binary classification | Did the patient die? |
# Usage
```python
from datasets import load_dataset
dataset = load_dataset("mstz/heart_failure", "death")["train"]
```
# Features
|**Feature** |**Type** |
|----------------------------------------------------|-----------|
|`age` |`int8` |
|`has_anaemia` |`int8` |
|`creatinine_phosphokinase_concentration_in_blood` |`float64` |
|`has_diabetes` |`int8` |
|`heart_ejection_fraction` |`float64` |
|`has_high_blood_pressure` |`int8` |
|`platelets_concentration_in_blood` |`float64` |
|`serum_creatinine_concentration_in_blood` |`float64` |
|`serum_sodium_concentration_in_blood` |`float64` |
|`sex` |`int8` |
|`is_smoker` |`int8` |
|`days_in_study` |`int64` | |