coronary_dataset
OpenML dataset with id 43154
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Full work available at URL: https://api.openml.org/data/v1/download/22101749/coronary_dataset.arff
Upload date: 31 January 2022
Dataset Characteristics
Number of features: 6 (numeric: 0, symbolic: 6 and in total binary: 6 )
Number of instances: 1,841
Number of instances with missing values: 0
Number of missing values: 0
Dataset description
Probable risk factors for coronary thrombosis, comprising data from 1841 men.
Format of the dataset
The coronary data set contains the following 6 variables:
Smoking (smoking): a two-level factor with levels no and yes.
M. Work (strenuous mental work): a two-level factor with levels no and yes.
P. Work (strenuous physical work): a two-level factor with levels no and yes.
Pressure (systolic blood pressure): a two-level factor with levels <140 and >140.
Proteins (ratio of beta and alpha lipoproteins): a two-level factor with levels <3 and >3.
Family (family anamnesis of coronary heart disease): a two-level factor with levels neg and pos.
Source
Edwards DI (2000). Introduction to Graphical Modelling. Springer, 2nd edition.
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.
Whittaker J (1990). Graphical Models in Applied Multivariate Statistics. Wiley.
This page was built for dataset: coronary_dataset
