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. Author manuscript; available in PMC: 2013 Sep 2.
Published in final edited form as: Neuroinformatics. 2013 Jul;11(3):339–353. doi: 10.1007/s12021-013-9180-7

Table 6.

Comparison with the state-of-the-art methods

Method Clinical score Data set Result
Wang et al. 2010 MMSE 23 AD, 74 MCI, 22 NC MMSE: RMSE=3.29, CORR=0.76
Fan et al. 2010 MMSE, ADAS-Cog 52 AD, 148 MCI, 64 NC MMSE: RMSE=2.12, CORR=0.57
ADAS-Cog: RMSE=5.03, CORR=0.52
Stonnington et al. 2010 MMSE, ADAS-Cog Set1 Set1
73 AD, 91 NC MMSE: CORR=0.70
Set2 Set2
113 AD, 351 MCI, 122 NC MMSE: CORR=0.48
ADAS-Cog: CORR=0.57
Set3 Set3
39 AD, 92 MCI, 32 NC MMSE: CORR=0.51
ADAS-Cog: CORR=0.47
Zhang et al. 2012 MMSE, ADAS-Cog 45 AD, 91 MCI, 50 NC MMSE: CORR=0.70
ADAS-Cog: CORR=0.74
Our proposed method MMSE, ADAS-Cog 51 AD, 99 MCI, 52 NC MMSE: RMSE=1.92, CORR=0.80
ADAS-Cog: RMSE=4.45, CORR=0.78

RMSE root mean square error, CORR correlation coefficients, MMSE mini-mental state examination, ADAS-Cog Alzheimer’s disease assessment scale-cognitive subscale