Prediction of Antidepressant Treatment Response and Remission Using an Ensemble Machine Learning Framework

In the wake of recent advances in machine learning research, the study of pharmacogenomics using predictive algorithms serves as a new paradigmatic application. In this work, our goal was to explore an ensemble machine learning approach which aims to predict probable antidepressant treatment respons...

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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: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599952/
https://www.ncbi.nlm.nih.gov/pubmed/33065962
http://dx.doi.org/10.3390/ph13100305

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599952/
https://www.ncbi.nlm.nih.gov/pubmed/33065962
http://dx.doi.org/10.3390/ph13100305

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