Table 3 Performances of differential diagnosis in training and validation set
AUC (95%CI) | Accuracy (%) | Sensitivity (%) | Specificity (%) | |
|---|---|---|---|---|
The primary cohort | ||||
LR | 0.91(0.84–0.98) | 84.1% | 73.9% | 89.1% |
SVM | 0.91(0.84–0.98) | 84.1% | 70.0% | 91.3% |
Decision tree | 0.93(0.86–0.99) | 87.0% | 73.9% | 93.4% |
The validation cohort | ||||
LR | 0.82(0.67–0.98) | 80.0% | 70.0% | 85.0% |
SVM | 0.82(0.67–0.98) | 80.0% | 70.0% | 85.0% |
Decision tree | 0.68(0.49–0.87) | 73.3% | 50.0% | 85.0% |