Table. 2. Comparing state-of-the-art methods.

All model apply ADNI data as input source.

Groups	WIMOAD			IntegrationLearner 54			MOGLAM 53
	Exp AUC	Met AUC	Int AUC	Exp AUC	Met AUC	Int AUC	Int AUC
AD vs. EMCI	0.63	0.59	0.64	0.52	0.53	0.50	0.34
AD vs. LMCI	0.65	0.67	0.73	0.44	0.45	0.44	0.39
AD vs. MCI	0.67	0.69	0.72	0.52	0.47	0.52	0.36
CN vs. AD	0.77	0.67	0.80	0.56	0.50	0.56	0.45
CN vs. EMCI	0.54	0.59	0.60	0.53	0.50	0.53	0.53
CN vs. LMCI	0.63	0.59	0.66	0.48	0.49	0.51	0.56
CN vs. MCI	0.61	0.56	0.62	0.44	0.49	0.47	0.54
CN vs. PT	0.60	0.58	0.62	0.478	0.52	0.52	0.53
EMCI vs. LMCI	0.57	0.57	0.60	0.50	0.46	0.50	0.50
Avg	0.63	0.61	0.67	0.50	0.49	0.51	0.47

Avg: Average.