Research   Biomarkers   Normal vs. AD   Normal vs. MCI
ACC (%)   SEN (%)   SPE (%)   ACC (%)   SEN (%)   SPE (%)
SVM based on network disruption model (this study)  CSF  95  95  95  90  95  84
SVM (Apostolova et al., 2014)  CSF  82  –  –  74  –  –
Multi-modal multi-task (M3T) learning (Zhang et al., 2012)  CSF  93  –  –  83  –  –
Logistic Regression (Teipel et al., 2007)  CSF  81  78  83  –  –  –
Large-scale regularized logistic regression (Casanova et al., 2013)  CSF  75  71  78  64  50  74
Multi-modal multi-task (M3T) learning (Zhang et al., 2012)  MRI  93  –  –  83  –  –
SVM (Salvatore et al., 2015)  MRI  76  –  –  72  –  –
Sparse representation (Xu et al., 2015)  MRI  95  96  90  75  66  82
Image-level hierarchical classifier learning (Suk et al., 2014)  MRI  92  92  95  84  99  54
Multi-modal multi-task (M3T) learning (Zhang et al., 2012)  PET  93  –  –  83  –  –
Sparse representation (Xu et al., 2015)  PET  91  89  93  72  65  79
Image-level hierarchical classifier learning (Suk et al., 2014)  PET  92  88  96  84  99  57