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 |