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