Research Article
[Retracted] Clinical Data Analysis for Prediction of Cardiovascular Disease Using Machine Learning Techniques
| Attribute | Representation | Details |
| Age | Age | In years | Sex | Sex | Male = 1, female = 0 | Chest pain | CP | 4 types: 4-asymptomatic, 2-nonanginal, 3-atypical, and 1-typical | Rest blood pressure | Trestbps | On hospital admission in mm Hg | Serum cholesterol | Chol | In mg/dl | Fasting blood sugar | Fbs | >120 mg/dl (0-false, 1-true) | Rest electrocardiograph | Restecg | 0-normal, 1-abnormal, and 2-maximum heart rate | Max heart rate | Thalch | Maximum heart rate | Exercise-induced angina | Exang | 1-yes, 0-no | ST depression | Oldpeak | Depression induced by exercise | Slope | Slope | 1-up, 2-flat, and 3-down | No. of vessels | Ca | Vessels colored by fluoroscopy | Thalassemia | Thal | 3-normal, 6-fixed, and 7-irreviersible | Num | Class | 0-no risk, 1-low risk, 2-high risk, and 3-very high risk |
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