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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...
Autores principales: | Lin, Eugene, Kuo, Po-Hsiu, Liu, Yu-Li, Yu, Younger W.-Y., Yang, Albert C., Tsai, Shih-Jen |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
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 |
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