Published August 1981
| Version v1
Dataset
Open
Coronary Heart Disease
Authors/Creators
Description
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
Files
coronary.csv
Files
(63.3 kB)
| Name | Size | Download all |
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md5:c0a7d5e443605a57eebb250823357d2f
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Additional details
Related works
- Is documented by
- 10.1007/978-1-4757-3502-4_6 (DOI)
References
- Reinis Z, Pokorny J, Basika V, Tiserova J, Gorican K, Horakova D, Stuchlikova E, Havranek T, Hrabovsky F (1981). "Prognostic Significance of the Risk Profile in the Prevention of Coronary Heart Disease." Bratisl Lek Listy, 76:137–150. Published on Bratislava Medical Journal, in Czech.
- Scutari M (2010). "Learning Bayesian Networks with the bnlearn R Package." Journal of Statistical Software, 35(3), 1–22. doi:10.18637/jss.v035.i03