Table S2. Classification result of MDCS in training set, internal testing set, pooled external testing set and prospective testing set.

Variables	Training set	Internal testing set	Pooled external testing set	Prospective testing set
MDCS, multiprocess detection and classification system; AUC, area under the receiver operating characteristic curve; 95% CI, 95% confidence interval.
AUC (95% CI)	0.984 (0.979−0.989)	0.932 (0.909−0.955)	0.909 (0.822−0.996)	0.912 (0.840−0.985)
Sensitivity (95% CI)	0.955 (0.926−0.949)	0.941 (0.900−0.967)	0.954 (0.864−0.988)	0.947 (0.845−0.986)
Specificity (95% CI)	0.916 (0.894−0.934)	0.790 (0.727−0.841)	0.655 (0.457−0.841)	0.714 (0.511−0.860)
Accuracy (95% CI)	0.938 (0.926−0.949)	0.868 (0.832−0.898)	0.852 (0.765−0.917)	0.871 (0.780−0.934)