Table 4.

Performance of logistic regression model in multicenter datasets.

Datasets	AUC	Sensitivity	Specificity	Yoden Index	Accuracy
Internal test set	0.85 (95%CI, 0.75–0.94)	0.68 (95%CI, 0.52–0.88)	0.96 (95%CI, 0.77–1.00)	0.64 (95%CI, 0.48–0.80)	0.77 (95%CI, 0.67–0.86)
External test set 1	0.81 (95%CI, 0.64–0.99)	0.92 (95%CI, 0.42–1.00)	0.62 (95%CI, 0.55–1.00)	0.54 (95%CI, 0.38–0.88)	0.73 (95%CI, 0.59–0.90)
External test set 2	0.83 (95%CI, 0.68–0.97)	0.81 (95%CI, 0.63–1.00)	0.86 (95%CI, 0.63–1.00)	0.67 (95%CI, 0.41–0.92)	0.80 (95%CI, 0.65–0.92)