Table 1.

Semi-supervised classification of AD using ADNI database. AUC: area under the receiver operating characteristic curve, ACC: accuracy, SEN: sensitivity, SPE: specificity.

Author	Data	Task	Result (supervised)	Result (semi-supervised)
Ye et al. (2011)	MRI, 53 AD, 63 NC, 237 MCI	sMCI vs. pMCI	AUC = 71% ACC = 55.3% SEN = 88.2% SPE = 42%	AUC = 73% ACC = 56.1% SEN = 94.1% SPE = 40.8%
Filipovych and Davatzikos (2011)	MRI, 54 AD, 63 NC, 242 MCI	sMCI vs. pMCI	AUC = 61% SEN = 78.8% SPE = 51%	AUC = 69% SEN = 79.4% SPE = 51.7%
Zhang and Shen (2011)	MRI, PET, CSF 51 AD, 52 NC, 99 MCI	AD vs. NC	AUC = 94.6%	AUC = 98.5%
Batmanghelich et al. (2011)	MRI, 54 AD, 63 NC, 238 MCI	sMCI vs. pMCI	AUC = 61.5%	AUC = 68%