Heart-Disease
OpenML dataset with id 43398
No author found.
Full work available at URL: https://api.openml.org/data/v1/download/22102223/Heart-Disease.arff
Upload date: 23 March 2022
Dataset Characteristics
Number of features: 14 (numeric: 14, symbolic: 0 and in total binary: 0 )
Number of instances: 303
Number of instances with missing values: 0
Number of missing values: 0
Context
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.
Acknowledgements
Creators:
Hungarian Institute of Cardiology. Budapest: Andras Janosi, M.D.
University Hospital, Zurich, Switzerland: William Steinbrunn, M.D.
University Hospital, Basel, Switzerland: Matthias Pfisterer, M.D.
V.A. Medical Center, Long Beach and Cleveland Clinic Foundation: Robert Detrano, M.D., PhD.
Donor:
David W. Aha (aha ics.uci.edu) (714) 856-8779
Inspiration
Experiments with the Cleveland database have concentrated on simply attempting to distinguish presence (values 1,2,3,4) from absence (value 0).
See if you can find any other trends in heart data to predict certain cardiovascular events or find any clear indications of heart health.
This page was built for dataset: Heart-Disease
