Research Article
A Context-Aware MRIPPER Algorithm for Heart Disease Prediction
Table 2
Descriptions of Cleveland dataset [
19].
| Medical term | Description |
| Age | Age (years) | Gender | 1 = male; 0 = female | Chest pain | Types of chest pains: 1-typical angina, 2-atypical angina, 3-nonanginal pain, and 4-asymptomatic | Bps | Resting blood pressure (mm HG) | Chol | Serum cholesterol (mg/dl) | Fastbs | Fasting blood sugar>120 mg/dl: 0-False and 1-true | Continuous max heart rate measured | Exercises induced angina: 0-no and 1-yes | Thalac | Max heart rate obtained | ST | Depressions induced by exercises related to rest | Slopes | The slopes of the peak exercise segments: 1-upsloping, 2-flat, and 3-downsloping | Cal | Total major vessels coloured by fluoroscopy which ranged from 0 to 3 | Thall | 3-normal, 6-fixed defects, and 7-reversible defects | Classes | Diagnosis classes: 0-healthy and 1-presence of heart disease |
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