A Novel Machine Learning-Based Systolic Blood Pressure Predicting Model

Table 5

12 different features.

ID	Feature
1	Gender
2	Marital status
3	Smoking status
4	Age
5	Weight
6	Overweight
7	Height
8	Body mass index (BMI)
9	Exercise level
10	Alcohol consumption
11	Stress level
12	Salt (NaCl) intake level