Research Article
Heart Disease Diagnosis Utilizing Hybrid Fuzzy Wavelet Neural Network and Teaching Learning Based Optimization Algorithm
Table 1
Properties of the input heart dataset’s attributes.
| No. | The name of input variables | Range of the value |
| 1 | Age | 29–77 (years) | 2 | Sex | 1 (male), 0 (female) | 3 | Chest pain type (cp) | 1, 2, 3, or 4 | 4 | Resting blood pressure (trestbps) | 94–200 (mm Hg) | 5 | Serum cholesterol (chol) | 126–564 (mg/dl) | 6 | Fasting blood sugar >120 mg/dl (fbs) | 1 (true), 0 (false) | 7 | Resting electrocardiographic results (restecg) | 0: normal | 1: having ST-T wave abnormality | 2: showing probable or definite left ventricular hypertrophy | 8 | Maximum heart rate achieved (thalach) | 71–202 | 9 | Exercise induced angina (exang) | 1 (yes), 0 (no) | 10 | ST depression induced by exercise relative to rest (Oldpeak) | 0–6.2 | 11 | The slope of the peak exercise ST segment | 1: upsloping | 2: flat | 3: downsloping | 12 | Number of major vessels (0–3) colored by fluoroscopy | 0, 1, 2, or 3 | 13 | Thal | 3: normal | 6: fixed defect | 7: reversible defect |
|
|