HDdata | R Documentation |
This dataset from UCI Machine Learning repository is a heart disease database similar to the database already present in the repository (Heart Disease databases) but in a slightly different form. The 14 attributes are:
age
sex (0=female, 1=male),
chest pain type ( 1=typical angina, 2=atypical angina, 3=non-anginal pain, 4:=asymptomatic),
resting blood pressure in mm Hg
serum cholestoral in mg/dl
fasting blood sugar > 120 mg/dl (1=True, 0=False)
resting electrocardiographic results (0=normal,1=ST-T wave abnormality , 2= elevation or depression of > 0.05 mV)
maximum heart rate achieved
exercise induced angina (1=Yes, 0=No)
oldpeak = ST depression induced by exercise relative to rest
the slope of the peak exercise ST segment (1=upsloping, 2=flat,3=downsloping)
number of major vessels (0-3) colored by flourosopy
thal: 3 = normal; 6 = fixed defect; 7 = reversable defect
heart disease : 1=absence, 2=presence
UCI Machine Learning Repository, Statlog (Heart) Data Set.
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