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

Background: Deep learning has utility in predicting differential antidepressant treatment response among patients with major depressive disorder, yet there remains a paucity of research describing how to interpret deep learning models in a clinically or etiologically meaningful way. In this paper, w...

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Detalles Bibliográficos
Autores principales: Mehltretter, Joseph, Rollins, Colleen, Benrimoh, David, Fratila, Robert, Perlman, Kelly, Israel, Sonia, Miresco, Marc, Wakid, Marina, Turecki, Gustavo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861264/
https://www.ncbi.nlm.nih.gov/pubmed/33733120
http://dx.doi.org/10.3389/frai.2019.00031

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861264/
https://www.ncbi.nlm.nih.gov/pubmed/33733120
http://dx.doi.org/10.3389/frai.2019.00031

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