Table 2.

Performances of the predictive models

Models	Candidate predictorsa	AUC (95% CI)	Sensitivity (SD)		PPV (SD)
			90% specificity	95% specificity	90% specificity	95% specificity
Fusion enhanced model	Local features + fused risk scores	0.86 (0.84, 0.89)	0.70 (0.03)	0.65 (0.02)	0.082 (0.008)	0.134 (0.015)
Conventional model	Local features	0.82 (0.81, 0.84)	0.42 (0.07)	0.24 (0.07)	0.050 (0.009)	0.057 (0.018)
Fusion only model	Fused risk scores	0.52 (0.49, 0.55)	0.10 (0.03)	0.04 (0.03)	0.012 (0.003)	0.011 (0.006)

AUC: area under the receiver operating characteristics curve; CI: confidence interval; PPV: positive predictive value; SD: standard deviation.

^aLocal features included demographics and diagnosis codes collected in target cohort, that is, HIDD cohort.