Optimizing prediction of response to antidepressant medications using machine learning and environmental data

INTRODUCTION: Major depressive disorder (MDD) is complex and multifactorial, posing a major challenge of tailoring the optimal medication for each patient. Current practice for MDD treatment mainly relies on trial-and-error, with estimated 42%-53% response rates for antidepressant use. OBJECTIVES: W...

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Detalles Bibliográficos
Autores principales: Spinrad, A., Darki-Morag, S., Taliaz, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Abstract
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9480190/
http://dx.doi.org/10.1192/j.eurpsy.2021.2000

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9480190/
http://dx.doi.org/10.1192/j.eurpsy.2021.2000

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