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Predictive Modeling of Depression and Anxiety using Electronic Health Records and a Novel Machine Learning Approach with Artificial Intelligence

2020-06-29

Abstract excerpt

<p>Generalized anxiety disorder (GAD) and major depressive disorder (MDD) are highly prevalent and impairing problems, but frequently go undetected, leading to substantial treatment delays. Electronic health records (EHRs) collect a great deal of biometric markers and patient characteristics that could foster the detection of GAD and MDD in primary care settings. We approached the problem of predicting MDD and GAD...

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Literature Corpus work
5394f26a-ea49-5c80-87ec-777f4819f97c
DOI
10.31234/osf.io/fhdr5
Open publication

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Predictive Modeling of Depression and Anxiety using Electronic Health Records and a Novel Machine Learning Approach with Artificial IntelligenceDOI 10.31234/osf.io/fhdr5
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