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. 2017 Nov 21;11:615. doi: 10.3389/fnins.2017.00615

Table 5.

Classification performance of different methods.

Method Research Disease Accuracy (%) Sensitivity (%) Specificity (%)
Partial-network Rosa et al., 2015 MDD 58.33 53.33 63.33
Wee et al., 2016 EMCI 62.71 60.00 65.52
Guo et al., 2013 MDD 86.01
Pearson-network Liu F. et al., 2015 MDD 63.00 40.00 83.00
Wee et al., 2016 EMCI 66.10 76.67 55.17
Wee et al., 2012 MCI 86.49
Wang et al., 2011 AD 81.00 73.00
Chen G. et al., 2011 AD 85.00 80.00
Hyper-network Biao et al., 2014 MCI 94.60 91.70 96.00
Jie et al., 2016 ADHD 82.90 83.90 86.10
Frequent subgraph Du et al., 2016 ADHD 94.91 93.22 96.94
Fei et al., 2014 MCI 97.30
Combined multiple features Zhou et al., 2014 MCI 86.47
Hyper-network Subgraph feature AD 74.80 83.33 67.60
Brain region feature AD 83.30 84.21 82.14
Proposed AD 91.60 93.50 90.50

AD represents Alzheimer's disease, MDD represents major depressive disorder, MCI represents mild cognitive impairment, EMCI represents mild cognitive impairment, and ADHD represents attention deficit hyperactivity disorder.