Coronary Heart Disease

This datset describes risk factors for coronary heart disease. It was introduced in Reinis et al. (1981).

Task: The dataset can be used to study causal discovery algorithms.

Summary: 

Size of dataset: 1,841 x 6

Task: Causal Discovery Problem

Data Type: Categorical Data

Dataset Scope: Standalone Dataset

Ground Truth: Unknown Graph

Temporal Structure: Static Data

License: TBD (License Link)

Missing Values: No Missing Values

Missingness Statement: There are no missing values.

Features:

Smoking: Smoking status (yes / no) 

M. Work: Strenuous mental work (yes / no)

P. Work: Strenuous physical work (yes / no)

Pressure: Systolic blood pressure (<140 / >140)

Proteins: Ratio of beta and alpha lipoproteins (<3 / >3)

Family: Family anamnesis of coronary heart disease (neg / pos)

Files: 

coronary.csv: dataset