Research Article

An Accurate Heart Disease Prognosis Using Machine Intelligence and IoMT

Table 2

Description of Cleveland dataset [39].

No.Name of attributeDescription

1AgeAge in years
2SexMale is equal 1 and female is equal 0
3CPType of chest pain
4TrestbpsA criterion which shows resting blood pressure
5CholA criterion which shows serum cholesterol
6FBSA variable which is boolean, when fasting blood  mg/dl is true otherwise it is false
7RestecgA criterion which shows resting electrocardiographic results
8ThalachA criterion which shows maximum heart rate
9ExangA binary variable which shows exercise-induced angina
10OldpeakA criterion which shows ST depression
11SlopeA criterion which shows the peak exercise ST segment
12CAA criterion which shows major vessel number
13ThalA criterion which shows heart rate
14NUMA criterion which shows heart disease status