Predicting treatment response using EEG in major depressive disorder: A machine-learning meta-analysis
Abstract Selecting a course of treatment in psychiatry remains a trial-and-error process, and this long-standing clinical challenge has prompted an increased focus on predictive models of treatment response using machine learning techniques. Electroencephalography (EEG) represents a cost-effective a...
Main Authors: | Devon Watts, Rafaela Fernandes Pulice, Jim Reilly, Andre R. Brunoni, Flávio Kapczinski, Ives Cavalcante Passos |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2022-08-01
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Series: | Translational Psychiatry |
Online Access: | https://doi.org/10.1038/s41398-022-02064-z |
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