Aspiring to clinical significance: Insights from developing and evaluating a machine learning model to predict emergency department return visit admissions.

Aspiring to clinical significance: Insights from developing and evaluating a machine learning model to predict emergency department return visit admissions.

Return visit admissions (RVA), which are instances where patients discharged from the emergency department (ED) rapidly return and require hospital admission, have been associated with quality issues and adverse outcomes. We developed and validated a machine learning model to predict 72-hour RVA usi...

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Bibliographic Details
Main Authors: Yiye Zhang, Yufang Huang, Anthony Rosen, Lynn G Jiang, Matthew McCarty, Arindam RoyChoudhury, Jin Ho Han, Adam Wright, Jessica S Ancker, Peter Ad Steel
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-09-01
Series:PLOS Digital Health
Online Access:https://doi.org/10.1371/journal.pdig.0000606
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https://doi.org/10.1371/journal.pdig.0000606

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