Article

Using Machine Learning to Develop a Clinical Prediction Model for SSRI-associated bleeding: a feasibility study

2023-01-10

Abstract excerpt

<title>Abstract</title> <p><bold>Introduction: </bold>Adverse drug events (ADEs) are associated with poor outcomes and increased costs but may be prevented with prediction tools.<bold> </bold>With the National Institute of Health <italic>All of Us (AoU)</italic> database, we employed machine learning (ML) to predict selective serotonin reuptake inhibitor (SSRI)-associated bleeding. <bold>Methods: </bold>The <ital...

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Literature Corpus work: a6cbee38-28ff-5bac-8ac9-89b498d9a984
DOI: 10.21203/rs.3.rs-2114953/v1

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