Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data

Background: Individuals with major depressive disorder (MDD) vary in their response to antidepressants. However, identifying objective biomarkers, prior to or early in the course of treatment that can predict antidepressant efficacy, remains a challenge.Methods: Individuals with MDD participated in...

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Detalhes bibliográficos

Principais autores:	Natalia Jaworska, Sara de la Salle, Mohamed-Hamza Ibrahim, Pierre Blier, Verner Knott
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2019-01-01
Colecção:	Frontiers in Psychiatry
Assuntos:	major depressive disorder (MDD) antidepressants biomarker quantitative EEG machine learning (ML) classification and regression trees
Acesso em linha:	https://www.frontiersin.org/article/10.3389/fpsyt.2018.00768/full
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