Article

Development of a differential treatment selection model for depression on consolidated and transformed clinical trial datasets

2024-02-20

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> Major depressive disorder (MDD) is the leading cause of disability worldwide, yet treatment selection still proceeds via “trial and error”. Given the varied presentation of MDD and heterogeneity of treatment response, the use of machine learning to understand complex, non-linear relationships in data may be key for treatment personalization. Well-organized, structured data from...

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Literature Corpus work: 5483055a-c6fe-5f86-8f4d-381257c606f5
DOI: 10.1101/2024.02.19.24303015

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