Research Article
An Accurate Heart Disease Prognosis Using Machine Intelligence and IoMT
Table 2
Description of Cleveland dataset [
39].
| No. | Name of attribute | Description |
| 1 | Age | Age in years | 2 | Sex | Male is equal 1 and female is equal 0 | 3 | CP | Type of chest pain | 4 | Trestbps | A criterion which shows resting blood pressure | 5 | Chol | A criterion which shows serum cholesterol | 6 | FBS | A variable which is boolean, when fasting blood mg/dl is true otherwise it is false | 7 | Restecg | A criterion which shows resting electrocardiographic results | 8 | Thalach | A criterion which shows maximum heart rate | 9 | Exang | A binary variable which shows exercise-induced angina | 10 | Oldpeak | A criterion which shows ST depression | 11 | Slope | A criterion which shows the peak exercise ST segment | 12 | CA | A criterion which shows major vessel number | 13 | Thal | A criterion which shows heart rate | 14 | NUM | A criterion which shows heart disease status |
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