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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Dades bibliogràfiques
Publicat a:PLoS One
Autors principals: 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.
Format: Artigo
Idioma:Inglês
Publicat: Public Library of Science 2021
Matèries:
Research Article
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC8238228/
https://ncbi.nlm.nih.gov/pubmed/34181661
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0253023
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