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Table 3 rTMS treatment response prediction

From: Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment

Author

Condition

Features

Algorithm

Chen et al. [84]

Depression

Resting state MRI

SVM regression

Hopman et al. [85]

Depression

Resting state fMRI

Linear SVM

Bailey et al. [81]

Depression

EEG and MADRS

Linear SVM

Fan et al. [83]

Depression

Resting state fMRI

Hierarchical regression

Hasanzadeh et al. [14]

Depression

EEG

K-NN

Zandvakili et al. [75]

Depression and post-traumatic stress disorder

EEG

Lasso regression and SVM

Bailey et al. [80]

Depression

EEG

Linear SVM

Koutsouleris et al. [78]

Schizophrenia

–

Linear SVM

Drysdale et al. [11]

Depression

fMRI

Hierarchical clustering and SVM

Rostami et al. [86]

Unipolar and bipolar depression

Clinical and demographic

Binary logistic regression

Erguzel et al. [82]

Depression

EEG

Artificial neural network