Using Machine Learning to Predict Remission in Patients With Major Depressive Disorder Treated With Desvenlafaxine.

Benoit, James R A; Dursun, Serdar M; Greiner, Russell; Cao, Bo; Brown, Matthew R G; Lam, Raymond W; Greenshaw, Andrew J

Benoit, James R A; Dursun, Serdar M; Greiner, Russell; Cao, Bo; Brown, Matthew R G; Lam, Raymond W; Greenshaw, Andrew J.

Afiliação

Benoit JRA; Faculty of Nursing, 98623University of Alberta, Edmonton, Alberta.
Dursun SM; Department of Psychiatry, 3158University of Alberta, Edmonton, Alberta.
Greiner R; Department of Psychiatry, 3158University of Alberta, Edmonton, Alberta.
Cao B; Department of Computing Science, 3158University of Alberta, Edmonton, Alberta.
Brown MRG; Department of Psychiatry, 3158University of Alberta, Edmonton, Alberta.
Lam RW; Department of Computing Science, 3158University of Alberta, Edmonton, Alberta.
Greenshaw AJ; Department of Psychiatry, University of British Columbia, Vancouver, British Columbia.

Can J Psychiatry ; 67(1): 39-47, 2022 01.

Article em En | MEDLINE | ID: mdl-34379019

Assuntos

Transtorno Depressivo Maior; Antidepressivos/uso terapêutico; Transtorno Depressivo Maior/diagnóstico; Succinato de Desvenlafaxina/uso terapêutico; Humanos; Aprendizado de Máquina; Resultado do Tratamento

Palavras-chave

antidepressants; artificial intelligence; diagnosis; machine learning; major depressive disorder; randomized controlled trial; symptom remission

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtorno Depressivo Maior Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Can J Psychiatry Ano de publicação: 2022 Tipo de documento: Article

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