Early antidepressant treatment response prediction in major depression using clinical and TPH2 DNA methylation features based on machine learning approaches

Abstract Objective To identify DNA methylation and clinical features, and to construct machine learning classifiers to assign the patients with major depressive disorder (MDD) into responders and non-responders after a 2-week treatment into responders and non-responders. Method Han Chinese patients...

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Detalhes bibliográficos

Principais autores:	Bingwei Chen, Zhigang Jiao, Tian Shen, Ru Fan, Yuqi Chen, Zhi Xu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2023-05-01
coleção:	BMC Psychiatry
Assuntos:	Major depressive disorder TPH2 CpGs Early antidepressant treatment response Machine learning
Acesso em linha:	https://doi.org/10.1186/s12888-023-04791-z
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