Analysis of Features Selected by a Deep Learning Model for Differential Treatment Selection in Depression.

Mehltretter, Joseph; Rollins, Colleen; Benrimoh, David; Fratila, Robert; Perlman, Kelly; Israel, Sonia; Miresco, Marc; Wakid, Marina; Turecki, Gustavo

Mehltretter, Joseph; Rollins, Colleen; Benrimoh, David; Fratila, Robert; Perlman, Kelly; Israel, Sonia; Miresco, Marc; Wakid, Marina; Turecki, Gustavo.

Afiliação

Mehltretter J; Department of Computer Science, University of Southern California, Los Angeles, CA, United States.
Rollins C; Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
Benrimoh D; Department of Psychiatry, McGill University, Montreal, QC, Canada.
Fratila R; Faculty of Medicine, McGill University, Montreal, QC, Canada.
Perlman K; Douglas Mental Health University Institute, Montreal, QC, Canada.
Israel S; Aifred Health, Montreal, QC, Canada.
Miresco M; Aifred Health, Montreal, QC, Canada.
Wakid M; Douglas Mental Health University Institute, Montreal, QC, Canada.
Turecki G; Aifred Health, Montreal, QC, Canada.

Front Artif Intell ; 2: 31, 2019.

Article em En | MEDLINE | ID: mdl-33733120

Palavras-chave

deep learning; depression; features; interpretability; treatment

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Artif Intell Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

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