| heart {kmed} | R Documentation |
Heart Disease data set
Description
A mixed variable dataset containing 14 variables of 297 patients for their heart disease diagnosis.
Usage
heart
Format
A data frame with 297 rows and 14 variables:
- age
Age in years (numerical).
- sex
Sex: 1 = male, 0 = female (logical).
- cp
Four chest pain types: (1) typical angina, (2) atypical angina (3)non-anginal pain, (4) asymptomatic (categorical).
- trestbps
Resting blood pressure (in mm Hg on admission to the hospital) (numerical).
- chol
Serum cholestoral in mg/dl (numerical).
- fbs
Fasting blood sugar more than 120 mg/dl (logical).
- restecg
Resting electrocardiographic results: (0) normal, (1) having ST-T wave abnormality, (2) showing probable or definite left ventricular hypertrophy by Estes' criteria (categorical).
- thalach
Maximum heart rate achieved (numerical).
- exang
Exercise induced angina (logical).
- oldpeak
ST depression induced by exercise relative to rest (numerical).
- slope
The slope of the peak exercise ST segment: (1) upsloping, (2) flat, (3) downsloping (categorical).
- ca
Number of major vessels (0-3) colored by flourosopy (numerical).
- thal
(3) normal, (6) fixed defect, (7) reversable defect (categorical).
- class
Diagonosis of heart disease (4 classes). It can be 2 classes by setting 0 for 0 values and 1 for non-0 values.
Source
The data set is taken from machine learning repository of UCI. The original data set consists of 303 patients with 6 NA's. Then, the missing values are omitted such that it reduces into 297 patients.
https://archive.ics.uci.edu/ml/datasets/Heart+Disease
References
Lichman, M. (2013). UCI machine learning repository.