Research Article
[Retracted] Heart Disease Prediction Based on the Embedded Feature Selection Method and Deep Neural Network
| SN | Attribute | Description |
| 1 | age | Age in years | 2 | sex | 1 = male; 0 = female | 3 | cp | Chest pain type | 4 | trestbps | Resting blood pressure (in mm Hg on admission to the hospital) | 5 | chol | Serum cholesterol in mg/dl | 6 | fbs | Fasting blood sugar >120 mg/dl (1 = true; 0 = false) | 7 | restecg | Resting electrocardiographic results | 8 | thalach | Maximum heart rate achieved | 9 | exang | Exercise-induced angina (1 = yes; 0 = no) | 10 | oldpeak | ST depression induced by exercise relative to rest | 11 | slope | The slope of the peak exercise ST segment | 12 | ca | Number of major vessels (0–3) colored by fluoroscopy | 13 | thal | 1 = normal; 2 = fixed defect; 3 = reversible defect | 14 | target | 1 = disease; 2 = no disease |
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