Heart Disease

Attribute Information:

1. Age: Age
2. Sex: Sex (1 = male; 0 = female)
3. ChestPain: Chest pain (typical, asymptotic, nonanginal, nontypical)
4. RestBP: Resting blood pressure
5. Chol: Serum cholestoral in mg/dl
6. Fbs: Fasting blood sugar > 120 mg/dl (1 = true; 0 = false)
7. RestECG: Resting electrocardiographic results
8. MaxHR: Maximum heart rate achieved
9. ExAng: Exercise induced angina (1 = yes; 0 = no)
10. Oldpeak: ST depression induced by exercise relative to rest
11. Slope: Slope of the peak exercise ST segment
12. Ca: Number of major vessels colored by flourosopy (0 - 3)
13. Thal: (3 = normal; 6 = fixed defect; 7 = reversable defect)
14. target: AHD - Diagnosis of heart disease (1 = yes; 0 = no)

Source: https://archive.ics.uci.edu/ml/datasets/Heart+Disease

Creators:

1. Hungarian Institute of Cardiology. Budapest: Andras Janosi, M.D.
2. University Hospital, Zurich, Switzerland: William Steinbrunn, M.D.
3. University Hospital, Basel, Switzerland: Matthias Pfisterer, M.D.
4. V.A. Medical Center, Long Beach and Cleveland Clinic Foundation: Robert Detrano, M.D., Ph.D.

Donor: David W. Aha (aha '@' ics.uci.edu) (714) 856-8779

Data Set Information:

This database contains 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. T

he "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 from absence (value 0).

The names and social security numbers of the patients were recently removed from the database, replaced with dummy values.