| Methods | Subjects | Modalities | AD vs. NC (%) | pMCI vs. sMCI (%) | pMC vs. NC (%) | pMCI vs. AD (%) |
| Baseline and also longitudinal patterns of the brain [40] | 27 pMCI, 76 sMCI | MRI | — | 81.5 | — | — | Pattern classification using baseline measurements [42] | 53 AD, 53 NC, 237 MCI | MRI | — | — | — | 53.3 | Voxel_stand_D GM features and SVM classifier [1] | 76 pMCI, 134 sMCI | MRI | — | 70 | 70.40 | — | ROI GM feature and via SVM classifier [43] | 51 AD, 52 NC, 99 MCI | MRI | 62 | | | | ROI GM feature and via SVM [44] | 198 AD, 231 NC, 167 pMCI, 238 sMCI | MRI | | 64.68 | 82.76 | — | Koikkalainen et al. [45] | 54 pMCI, 115 sMCI | MRI | 86 | 72 | — | — | BrainAGE framework [46] | 188 NC, 171 NC, 133pMCI, 62 sMCI | MRI | — | 75 | — | — | Separating pMCI subjects from different individuals [47] | 61 pMCI, 134 sMCI | MRI | | 66.7 | | | Casanova et al. [48] | 188 NC, 171AD, 153 pMCI, 182 sMCI | MRI | 81.4 | 61.5 | 63 | — | Data-driven ROI [49] | 97 AD, 128 NC, 117 pMCI, 117 sMCI | MRI | — | 73.69 | — | — | Tong and Gao [50] | 191 AD, 229 NC, 161 pMCI, 100 sMCI | MRI | 76 | — | — | — | Combining MRI data with cognitive test results MRI [24] | 53 AD, 53 NC 237 MCI | MRI | — | — | — | 61 | Discriminative multitask feature selection method [51] | 51AD, 52 NC, 99 MCI | MRI | 87.2 | 53.68 | 68.02 | — | Inherent structure-based multiview learning method [52] | 97AD, 128 NC, 117 pMCI, 175 sMCI | MRI | 92.51 | 78.88 | — | — | Explicitly modeling structural information in the multitemplate data [53] | 97 AD, 128 NC, 117 pMCI, 175 sMCI | MRI | 93.6 | 79.25 | — | — | Proposed method | 98 AD, 229 NC, 167 pMCI, 236 sMCI | MRI | 90.40 | 65.04 | 84.33 | 58.93 |
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