From: Adapting transformer-based language models for heart disease detection and risk factors extraction
Risk factor | Time attribute | Precision | Recall | F-Score | Support |
---|---|---|---|---|---|
CAD | Before_DCT | 0.78 | 0.89 | 0.83 | 436 |
 | During_DCT | 0.67 | 0.44 | 0.53 | 201 |
 | After_DCT | 0.00 | 0.00 | 0.00 | 34 |
Diabetes | During_DCT | 0.00 | 0.00 | 0.00 | 107 |
 | Before_DCT | 0.67 | 0.58 | 0.62 | 288 |
 | After_DCT | 0.65 | 0.64 | 0.65 | 265 |
Hypertension | Before_DCT | 0.76 | 0.82 | 0.79 | 159 |
 | During_DCT | 0.91 | 0.95 | 0.93 | 521 |
 | After_DCT | 0.00 | 0.00 | 0.00 | 55 |
Obese | Before_DCT | 0.77 | 0.41 | 0.54 | 41 |
 | During_DCT | 0.80 | 0.11 | 0.20 | 36 |
 | After_DCT | 0.00 | 0.00 | 0.00 | 44 |
Medication | Before_DCT | 0.68 | 0.51 | 0.58 | 995 |
 | During_DCT | 0.58 | 0.43 | 0.50 | 722 |
 | After_DCT | 0.62 | 0.45 | 0.52 | 727 |
Hyperlipidemia | Before_DCT | 1.00 | 0.11 | 0.20 | 88 |
 | During_DCT | 0.81 | 0.57 | 0.67 | 77 |
 | After_DCT | 0.82 | 0.73 | 0.77 | 104 |
Weighted average | Â | 0.9390 | 0.9427 | 0.9394 | 42946 |
Macro average | Â | 0.4195 | 0.4037 | 0.3915 | 42946 |
Micro average | Â | Â | Â | 0.9427 | 42946 |
Accuracy | Â | Â | Â | 0.9427 | 42946 |