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Table 2 Description of variables (Framingham dataset)

From: Machine learning-based identification of patients with a cardiovascular defect

Variable Description
Age Age in years (32 to 70)
Male Gender instance (1 = Female, 0= Male)
Education Level of education (1 to 4)
CurrentSmoker Whether or not the patient is a current smoker 0 : no 1 : yes
CurrentSmoker Whether or not the patient is a current smoker 0 : no 1 : yes
CigsPerDay The number of cigarettes that the person smoked on average in one day
BPMeds Whether or not the patient was on blood pressure medication 0 : no 1 : yes
PrevalentStroke Whether or not the patient was on blood pressure medication 0 : no 1 : yes
PrevalentHyp Whether or not the patient was hypertensive 0 : no 1 : yes
Diabetes Whether or not the patient had diabetes 0 : no 1 : yes
TotChol Total cholesterol level
SysBP Systolic blood pressure
DiaBP Diastolic blood pressure
BMI Body Mass Index
Heart Rate Measure of heart rate
Glucose Glucose level
TenyearHeart whether or not the patient will develop heart disease in the future ten years (target) 0 : no 1 : yes