Table 6.
Literature review of ADHD diagnosis using ML and DL methods.
| Reference | Model | Year | Modality | Subjects | Training Set/Test Set | Accuracy (%) |
|---|---|---|---|---|---|---|
| [134] | SVM, KNN, LR, NV, RF et al. | 2020 | T1-w, DTI, fMRI |
36 ADHD, 36 HC |
5-fold Cross-Validation | ADHD/HC-81.6, ADHD-P/ADHD-R-78.3 |
| [135] | SVM | 2016 | rs-fMRI | 118 ADHD, 98 HC |
9/1 | 94.91 |
| [136] | SVM | 2015 | T1-w, fMRI |
18 ADHD, 18 HC |
leave-one-out | 77.78 |
| [137] | KNN | 2018 | fMRI | 973 | - | 81 |
| [138] | RF | 2019 | fMRI | 78 ADHD, 116 HC |
541/128 | 82.73 |
| [139] | SVM | 2020 | rs-fMRI | 272 ADHD, 361 HC |
leave-one-out | 88.1 |
| [140] | SVM | 2018 | T1-w, fMRI |
279 ADHD, 279 HC |
558/171 | 68.9 |
| [141] | 3D-CNN-based | 2019 | rs-fMRI | 359 ADHD, 429 HC |
626/126 | 71.3 |
| [142] | GAN | 2019 | fMRI | 487 | - | 90.2 |
| [143] | 3D-CNN | 2019 | T1-w | 587 | 5-fold Cross-Validation | 76.6 |
| [144] | 2D-CNN | 2020 | rs-fMRI | 359 | 349/117 | 73.1 |