Table 3.

The comparison of our proposed methods (MDTL), its two variant methods (MDTC and MDTFS), and SVM(as a baseline method) in three binary classification problems.

AD vs. NC Classification
Method	Accuracy (%)	Sensitivity (%)	Specificity (%)	AUC	p-value
SVM	85.8	84.6	85.9	0.933	<0.0001
MDTC	88.4	87.2	88.5	0.950	<0.0001
MDTFS	93.4	93.3	93.5	0.982	<0.05
MDTL	94.7	94.1	94.8	0.988	-
MCI vs. NC Classification
Method	Accuracy (%)	Sensitivity (%)	Specificity (%)	AUC	p-value
SVM	72.5	78.8	60.4	0.769	<0.0001
MDTC	75.8	81.4	65.1	0.810	<0.0001
MDTFS	80.2	84.8	71.4	0.876	<0.05
MDTL	81.5	85.8	73.3	0.882	-
pMCI vs. sMCI Classification
Method	Accuracy (%)	Sensitivity (%)	Specificity (%)	AUC	p-value
SVM	67.1	61.0	71.5	0.728	<0.0001
MDTC	69.2	63.5	73.3	0.742	<0.0001
MDTFS	72.8	67.8	76.4	0.792	<0.05
MDTL	73.8	69.0	77.4	0.796	-