Table 3.
Evaluation indicators of multiple models of training and test sets.
| Model | AUC | 95% CI | accuracy | sensitivity | specificity | NPV | PPV | |
|---|---|---|---|---|---|---|---|---|
| TS | Radomics | 0.807 | 0.753–0.854 | 78.80 | 69.32 | 85.19 | 55.68 | 91.36 |
| Clinical-semantic | 0.615 | 0.551–0.675 | 68.40 | 42.05 | 81.68 | 90.74 | 27.27 | |
| Combined | 0.840 | 0.788–0.883 | 81.60 | 77.27 | 81.48 | 90.74 | 64.77 | |
| VS | Radomics | 0.786 | 0.665–0.879 | 74.60 | 54.55 | 92.68 | 85.37 | 54.55 |
| Clinical-semantic | 0.683 | 0.554–0.795 | 71.43 | 50.00 | 80.49 | 90.24 | 36.36 | |
| Combined | 0.809 | 0.690–0897 | 74.60 | 81.82 | 65.85 | 85.37 | 54.55 |
TS:training set, VS: test set