A Deep Learning Approach for Predicting Antidepressant Response in Major Depression Using Clinical and Genetic Biomarkers

In the wake of recent advances in scientific research, personalized medicine using deep learning techniques represents a new paradigm. In this work, our goal was to establish deep learning models which distinguish responders from non-responders, and also to predict possible antidepressant treatment...

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Detalles Bibliográficos
Autores principales: Lin, Eugene, Kuo, Po-Hsiu, Liu, Yu-Li, Yu, Younger W.-Y., Yang, Albert C., Tsai, Shih-Jen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6043864/
https://www.ncbi.nlm.nih.gov/pubmed/30034349
http://dx.doi.org/10.3389/fpsyt.2018.00290

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6043864/
https://www.ncbi.nlm.nih.gov/pubmed/30034349
http://dx.doi.org/10.3389/fpsyt.2018.00290

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