Table 2.
Prediction performance of model 1-5.
| Cohort | Model | AUC (95%CI) | SEN | SPE | ACC | PPV | NPV | AIC |
|---|---|---|---|---|---|---|---|---|
| Training cohort | Model 1 | 0.84(0.75-0.93) | 0.78 | 0.83 | 0.80 | 0.93 | 0.66 | 88.87 |
| Model 2 | 0.79(0.69-0.89) | 0.66 | 0.83 | 0.72 | 0.88 | 0.65 | 90.81 | |
| Model 3 | 0.84(0.75-0.93) | 0.80 | 0.80 | 0.79 | 0.88 | 0.66 | 83.36 | |
| Model 4 | 0.92(0.86-0.98) | 0.93 | 0.83 | 0.90 | 0.91 | 0.86 | 64.06 | |
| Model 5 | 0.93(0.88-0.98) | 0.96 | 0.76 | 0.90 | 0.89 | 0.92 | 60.14 | |
| Validation cohort | Model 1 | 0.87 (0.77-0.98) | 0.66 | 1.00 | 0.82 | 1.00 | 0.63 | — |
| Model 2 | 0.78 (0.63-0.93) | 0.81 | 0.66 | 0.76 | 0.84 | 0.61 | — | |
| Model 3 | 0.80(0.64-0.95) | 0.85 | 0.66 | 0.79 | 0.85 | 0.66 | — | |
| Model 4 | 0.90(0.81-0.99) | 0.81 | 1.00 | 0.87 | 1.00 | 0.70 | — | |
| Model 5 | 0.91(0.81-0.99) | 0.70 | 1.00 | 0.79 | 1.00 | 0.60 | — |
AUC, area under the curve; CI, confidence interval; SEN, sensitivity; SPE, specificity; ACC, accuracy; PPV, positive predictive value; NPV, negative predictive value; AIC, Akaike information criterion.