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. 2021 Aug 3;11(8):1402. doi: 10.3390/diagnostics11081402

Table 4.

Literature review of MDD diagnosis using ML and DL methods.

Reference Model Year Modality Subjects Training Set/Test Set Accuracy (%)
[102] SVM 2015 rs-fMRI 21 BD,
25 MDD
leave-one-out 92.1
[103] SVM 2018 T1-w 26 BD,
26 MDD
leave-two-out 75
[104] SVM 2018 DTI 31 BD,
36 MDD
- 68.3
[105] SVM 2017 rs-fMRI 19 cMDD,
19rMDD,
19 HC
leave-one-out cMDD/HC-87
rMDD/HC-84
cMDD/rMDD-89
[106] SVM 2021 T1-w 66 MDD leave-one-out 78.59
[107] SVM 2017 T1-w 19 GAD,
14 MDD,
24 HC
leave-one-out GAD+MDD/HC -90.10,
GAD/MDD-67.46
[108] SVM 2017 rs-fMRI 38 MDD,
28 HC
- 97.54
[109] SVM-based 2014 rs-fMRI 24 MDD,
29 HC
leave-one-out 92.5
[110] GAN 2020 rs-fMRI 269 MDD,
286 HC
10-fold Cross-Validation 80.7
[111] GNN 2020 rs-fMRI 29 MDD,
44 HC
10-fold Cross-Validation 74.1