Table 1.

Performance of the MMI system in identifying BP, FP, VP, and PTB

	Dataset	Sensitivity (95% CI)	Specificity (95% CI)	Accuracy (95% CI)	AUC (95% CI)
Clinical model	Validation	0.830 (0.816–0.847)	0.760 (0.747–0.772)	0.786 (0.777–0.795)	0.860 (0.855–0.867)
	Internal testing	0.785 (0.764–0.804)	0.779 (0.767–0.792)	0.788 (0.777–0.798)	0.850 (0.844–0.856)
	External testing	0.706 (0.644–0.765)	0.875 (0.846–0.904)	0.788 (0.755–0.821)	0.840 (0.824–0.860)
Image model	Validation	0.838 (0.822–0.854)	0.832 (0.820–0.843)	0.832 (0.824–0.842)	0.896 (0.891–0.901)
	Internal testing	0.847 (0.829–0.861)	0.806 (0.795–0.819)	0.821 (0.812–0.830)	0.894 (0.890–0.900)
	External testing	0.883 (0.853–0.920)	0.711 (0.674–0.749)	0.755 (0.727–0.788)	0.856 (0.840–0.872)
MMI system	Validation	0.836 (0.820–0.853)	0.850 (0.840–0.861)	0.846 (0.838–0.855)	0.905 (0.900–0.910)
	Internal testing	0.846 (0.830–0.860)	0.847 (0.837–0.858)	0.848 (0.838–0.856)	0.910 (0.904–0.916)
	External testing	0.880 (0.819–0.944)	0.800 (0.766–0.839)	0.835 (0.807–0.865)	0.887 (0.867–0.909)