Article

Generating interpretable predictions about antidepressant treatment stability using supervised topic models

2020-03-20

Abstract excerpt

<h4>Importance</h4> In the absence of readily-assessed and clinically-validated predictors of treatment response, pharmacologic management of major depressive disorder (MDD) often relies on trial and error. <h4>Objective</h4> To utilize electronic health records to identify predictors of treatment response, while preserving interpretability of predictions despite large numbers of covariates. <h4>Design</h4> Retros...

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Literature Corpus work: 1fbf8978-94ac-5998-b5df-e15212af6784
DOI: 10.1101/2020.03.18.20038232

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