TABLE 3.

Classification performance in the PredictND cohort (mean; 95% confidence interval)

	CN (N = 195) vs MCI (N = 83)			CN (N = 195) vs DEM (N = 45)
PredictND	MMSE	Global cognitive score	cCOG	MMSE	Global cognitive score	cCOG
AUC	0.75 (0.63 0.86)	0.77 (0.66 0.88)	0.84 (0.75 0.92)	0.84 (0.71 0.94)	0.91 (0.77 0.99)	0.92 (0.83 0.98)
BACC	0.68 (0.58 0.78)	0.71 (0.61 0.80)	0.77 (0.67 0.86)	0.78 (0.66 0.89)	0.88 (0.76 0.96)	0.83 (0.71 0.93)
Sensitivity	0.66 (0.45 0.85)	0.71 (0.50 0.90)	0.77(0.57 0.95)	0.72 (0.45 0.92)	0.86 (0.64 1.00)	0.75 (0.50 1.00)
Specificity	0.71 (0.57 0.84)	0.71 (0.58 0.84)	0.77 (0.67 0.88)	0.83 (0.71 0.94)	0.89 (0.81 0.96)	0.91 (0.83 0.98)

Abbreviations: AUC, area under the curve; BACC; balanced accuracy; cCOG, computerized cognitive test; CN, cognitively normal; DEM, dementia; MCI, mild cognitive impairment; MMSE, Mini‐Mental State Examination.