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.

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.

<h4>Objectives</h4>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 clinica...

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Bibliographic Details
Main Authors: John-Jose Nunez, Teyden T Nguyen, Yihan Zhou, Bo Cao, Raymond T Ng, Jun Chen, Benicio N Frey, Roumen Milev, Daniel J Müller, Susan Rotzinger, Claudio N Soares, Rudolf Uher, Sidney H Kennedy, Raymond W Lam
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0253023

Internet

https://doi.org/10.1371/journal.pone.0253023

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