Table 5 Comparation on the performances of model 1, model 2 and model 3 in identifying LVI in the training and validation cohorts.
Models | AUC | 95% CI | Sensitivity | Specificity | Accuracy | P value | |
---|---|---|---|---|---|---|---|
Lower | Upper | ||||||
Model 1 | < 0.001* | ||||||
 Training set | 0.910 | 0.871 | 0.948 | 0.891 | 0.702 | 0.792 |  |
 Validation set | 0.896 | 0.806 | 0.964 | 0.806 | 0.814 | 0.810 |  |
Model 2 | < 0.001* | ||||||
 Training set | 0.845 | 0.793 | 0.897 | 0.778 | 0.767 | 0.772 |  |
 Validation set | 0.720 | 0.611 | 0.830 | 0.762 | 0.667 | 0.713 |  |
Model 3 | |||||||
 Training set | 0.927 | 0.893 | 0.955 | 0.991 | 0.380 | 0.671 |  |
 Validation set | 0.835 | 0.719 | 0.929 | 0.935 | 0.333 | 0.655 |  |