| heart {AssocBin} | R Documentation |
Heart Disease Diagnosis Data
Description
This data (adapted from the UCI Machine Learning Repository at https://archive.ics.uci.edu/) presents a single data frame reporting heart disease diagnosis results for patients from studies carried out by Andras Janosi at the Hungarian Institute of Cardiology; William Steinbrunn and Matthias Pfisterer at the University Hospitals of Zurich and Basel; and two separate studies by Robert Detrano carried out at the Cleveland Clinic Foundation and Long Beach V.A. Medical Center. The data contains measurements of 15 variables collected on 920 participants:
- age
Age in years
- sex
Sex
- cp
Reported chest pain type: typical angina, non-typical angina, non-angina, or no pain
- trestbps
Resting blood pressure (mmHg on admission to hospital)
- chol
Serum cholesterol in mg/dl
- fbs
Indicator of fasting blood sugar >120 mg/dl
- restecg
Resting electrocardiographic results: normal, indicating ventricular hypertrophy, or displaying ST-T wave abnormality
- thalach
Maximum measured heart rate
- exang
Indicator of exercise induced angina
- oldpeak
ST wave depression induced by exercise relative to rest
- slope
The slope of the ST segment during peak exercise
- ca
Number of major blood vessels coloured by fluoroscopy
- thal
Type of heart defect
- num
Diagnosis of heart disease. Values greater than one indicate heart disease of different sorts while a value of zero indicates no heart disease
- study
The study where the participant's data was collected
Usage
data(heart)
Format
A matrix with 920 rows and 15 columns, with each row reporting measurements for a participant in one of the heart disease studies.