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

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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Bibliographic Details
Main Authors: Eugene Lin, Po-Hsiu Kuo, Yu-Li Liu, Younger W.-Y. Yu, Albert C. Yang, Shih-Jen Tsai
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Pharmaceuticals
Subjects:
antidepressant
ensemble learning
feature selection
machine learning
major depressive disorder
pharmacogenomics
Online Access:https://www.mdpi.com/1424-8247/13/10/305

Internet

https://www.mdpi.com/1424-8247/13/10/305

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