Table 2.

A comparative table on the advantages and disadvantages of the proposed model.

Study	Advantages	Disadvantages
Hussain et al., 2020 [35]	Cost-effective for using EMG to address motor activity changes with antidepressant response	Accuracy lower than the current study using neural network model that requires relatively large sample
Yu et al., 2022 [32]	90% prediction accuracy with random forest	Lack of insight from neurobiology if only using EMG signals, but useful for multimodal analysis
Hussain et al., 2020 [33]	Portable EEG device for data collection, comparison of different algorithms	Removal of features before training the algorithm may lead to loss of information
Hussain et al., 2021 [34]	Wireless EEG devices used for data collection	Expertise will be required for EEG data interpretation and tree-based algorithms showed 70% accuracy