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