Replication of machine learning methods to predict treatment outcome with antidepressant medications in patients with major depressive disorder from STAR*D and CAN-BIND-1

OBJECTIVES: Antidepressants are first-line treatments for major depressive disorder (MDD), but 40–60% of patients will not respond, hence, predicting response would be a major clinical advance. Machine learning algorithms hold promise to predict treatment outcomes based on clinical symptoms and epis...

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Detalles Bibliográficos
Autores principales: Nunez, John-Jose, Nguyen, Teyden T., Zhou, Yihan, Cao, Bo, Ng, Raymond T., Chen, Jun, Frey, Benicio N., Milev, Roumen, Müller, Daniel J., Rotzinger, Susan, Soares, Claudio N., Uher, Rudolf, Kennedy, Sidney H., Lam, Raymond W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238228/
https://www.ncbi.nlm.nih.gov/pubmed/34181661
http://dx.doi.org/10.1371/journal.pone.0253023

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238228/
https://www.ncbi.nlm.nih.gov/pubmed/34181661
http://dx.doi.org/10.1371/journal.pone.0253023

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