Research Article
Anomaly Detection in Heart Disease Using a Density-Based Unsupervised Approach
Table 1
An example of a feature set after the feature selection step.
| Property | Allowed property value | Property type | Property | Allowed property value | Property type |
| Age | 29-77 | Numeric continuous | Maximum heart rate | 70-202 | Numeric continuous | Sex | 0-1 | Sequential | Exercise-related pain | 0-1 | Sequential | Type of chest pain | 1-4 | Exercise-induced depression | Sequential | 0-6.2 | Numeric continuous | Blood pressure | 94-200 | Numeric continuous | ST slope at the peak of exercise | 1-3 | Sequential | Cholesterol | 126-564 | Numeric continuous | The number of clogged main vessels | 0-3 | Sequential | Blood sugar | 0-1 | Sequential | Thalassemia patient status | 3-7 | Sequential | Electrocardiographic results | 0-2 | Sequential | Patient’s cardiac status (predicted class) | 0-4 | Sequential |
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