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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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5d186a23528749dc9f493afd848fde3f
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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.

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