Table 3. Model performance for predicting MACEs.
| Models | AUC | Sensitivity (%) | Specificity (%) | Accuracy (%) | Precision (%) | F1 score |
|---|---|---|---|---|---|---|
| Radiomics model | ||||||
| Training | 0.97 | 100.00 | 70.49 | 76.32 | 45.45 | 0.63 |
| Validation | 0.87 | 83.33 | 64.29 | 70.00 | 50.00 | 0.63 |
| Clinical model | ||||||
| Training | 0.97 | 100.00 | 91.80 | 93.42 | 75.00 | 0.86 |
| Validation | 0.65 | 16.67 | 78.57 | 60.00 | 25.00 | 0.20 |
| Combined model | ||||||
| Training | 0.99 | 93.33 | 93.44 | 93.42 | 77.78 | 0.85 |
| Validation | 0.92 | 33.33 | 100.00 | 80.00 | 100.0 | 0.50 |
MACE, major adverse cardiovascular event; AUC, area under the receiver operating characteristic curve.