Table 10.

Diagnostic score classification between HC and MCI.

Total Scores between HC and MCI	Cutoff	AUC	Sensitivity	Specificity	95% CI	p-Value
$S_{\Sigma }$	1.7635	0.968	90.3%	95%	0.926–1.000	<0.001
$S_{{\Sigma }^2}$	0.7512	0.973	96.8%	90%	0.935–1.000	<0.001
$S_{{\Sigma }^{2}AUC}$	0.6167	0.974	96.8%	90%	0.938–1.000	<0.001
${\mathit{S}}_{{\mathsf{\Sigma }}^2\mathit{A}\mathit{U}{\mathit{C}}^2}$	0.4804	0.977	100%	90%	0.943–1.000	<0.001
$S_{\Sigma }^{\sigma }$	6.5582	0.971	93.5%	90%	0.934–1.000	<0.001
$S_{{\Sigma }^2}^{\sigma }$	3.0873	0.968	96.8%	90%	0.926–1.000	<0.001
$S_{{\Sigma }^{2}AUC}^{\sigma }$	2.5263	0.973	96.8%	90%	0.935–1.000	<0.001
$S_{{\Sigma }^{2}AU{C}^2}^{\sigma }$	2.0760	0.976	96.8%	90%	0.942–1.000	<0.001

Abbreviations: HC: Cognitively Healthy Advanced-age Adults (above 50 years); MCI: Adults with Mild Cognitive Impairment; AUC: Area Under the Curve; CI: Confidence interval; Values in bold: the best discrimination formula and its score.