Published 1988
| Version v2
Open dataset
Open
Heart Disease Data Set
- 1. Hungarian Institute of Cardiology, Budapest
- 2. University Hospital, Zurich, Switzerland
- 3. University Hospital, Basel, Switzerland
- 4. V.A. Medical Center, Long Beach and Cleveland Clinic Foundation
Description
Description
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).
Files
Files
(6.2 kB)
| Name | Size | Download all |
|---|---|---|
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md5:941493439ca5061556670a1e39ba2112
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6.2 kB | Download |
Details
| Resource type | Open dataset |
| Title | Heart Disease Data Set |
| Creators |
|
| Publisher | UC Irvine Machine Learning Repository |
| Year of publication | 1988 |
| External resource | https://archive.ics.uci.edu/ml/machine-learning-databases/heart-disease/ |
| Size | 0.011 GB |
| Related works |
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