Heart Disease Data Set
This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been used by ML researchers to
this date. The “goal” field refers to the presence of heart disease in the patient. It is integer valued from 0 (no presence) to 4. Experiments with the Cleveland database have concentrated on simply attempting to distinguish presence (values 1,2,3,4) from absence (value 0).
Publication Date:
1988
Creators:
Janosi, Andras; Steinbrunn, William; Pfisterer, Matthias; Detrano, Robert
Publisher:
UC Irvine Machine Learning Repository
Companies:
Hungarian Institute of Cardiology, Budapest; University Hospital, Zurich, Switzerland; University Hospital, Basel, Switzerland; V.A. Medical Center, Long Beach and Cleveland Clinic Foundation
Size:
11.33 kB (from Kaggle, if we use the other project page the dataset is split up and larger; not sure which number to enter here)
License:
Creative Commons Attribution 4.0 International
Data Category:
Health and Wellness