Table 2 Features used as input by prediction models, after binary normalization.
A/A | Feature Name | Description | Feature Class/Type |
|---|---|---|---|
1 | known Cad | Coronary Artery Disease | Predisposing Factor |
2 | previous AMI | Acute Myocardial infarction | Predisposing Factor |
3 | previous PCI | Percutaneous Coronary Intervention | Predisposing Factor |
4 | previous CABG | Coronary artery bypass graft surgery | Predisposing Factor |
5 | previous Stroke | Stroke | Predisposing Factor |
6 | Diabetes | Diabetes positive patient | Predisposing Factor |
7 | Smoking | Smoker/Non-smoker | Predisposing Factor |
8 | Arterial Hypertension | Known Arterial Hypertension instance | Recurrent Diseases |
9 | Dyslipidemia | Known Dyslipidemia instance | Recurrent Diseases |
10 | Angiopathy | Known Angiopathy instance | Recurrent Diseases |
11 | Chronic Kidney Disease | Known Chronic Kidney Disease instance | Recurrent Diseases |
12 | Family History of CAD | CAD occurrence in family | Recurrent Diseases |
13 | Asymptomatic | No symptoms | Symptoms |
14 | Atypical | Atypical symptoms | Symptoms |
15 | Angina-like | Angina-like symptoms | Symptoms |
16 | Dyspnea | Dyspnea on exertion | Symptoms |
17 | Precordial Pain | Precordial pain occurrence | Symptoms |
18 | Sex | Male/female | Demographics |
19 | Normal Weight | BMI lower than 24.9 | Demographics |
20 | Overweight | BMI between 25 to 29.9 | Demographics |
21 | Obese | BMI over 30 | Demographics |
22 | < 40 | Aged under 40 | Demographics |
23 | 40–50 | Aged between 40 to 50 | Demographics |
24 | 50–60 | Aged between 50 to 60 | Demographics |
25 | > 60 | Aged over 60 | Demographics |
26 | RST ECG | Diagnostic Resting Electrocardiogram | Diagnostic Test (ECG) |
27 | Doctor | Expert’s prediction | Expert’s Prediction |
28 | CAD | ICA—ground truth | Reference Variable |
