Validation of Machine Learning-Based Individualized Treatment for Depressive Disorder Using Target Trial Emulation

Validation of Machine Learning-Based Individualized Treatment for Depressive Disorder Using Target Trial Emulation

This study aims to develop and validate the use of machine learning-based prediction models to select individualized pharmacological treatment for patients with depressive disorder. This study used data from Taiwan’s National Health Insurance Research Database. Patients with incident depressive diso...

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Bibliographic Details
Main Authors: Chi-Shin Wu, Albert C. Yang, Shu-Sen Chang, Chia-Ming Chang, Yi-Hung Liu, Shih-Cheng Liao, Hui-Ju Tsai
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Journal of Personalized Medicine
Subjects:
anti-depressive agents
machine learning
precision medicine
Online Access:https://www.mdpi.com/2075-4426/11/12/1316

Internet

https://www.mdpi.com/2075-4426/11/12/1316

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