Multisite development and validation of machine learning models to predict severe outcomes and guide decision‐making for emergency department patients with influenza

Multisite development and validation of machine learning models to predict severe outcomes and guide decision‐making for emergency department patients with influenza

Abstract Objective Millions of Americans are infected by influenza annually. A minority seek care in the emergency department (ED) and, of those, only a limited number experience severe disease or death. ED clinicians must distinguish those at risk for deterioration from those who can be safely disc...

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Main Authors: Jeremiah S. Hinson, Xihan Zhao, Eili Klein, Oluwakemi Badaki‐Makun, Richard Rothman, Martin Copenhaver, Aria Smith, Katherine Fenstermacher, Matthew Toerper, Andrew Pekosz, Scott Levin
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Journal of the American College of Emergency Physicians Open
Online Access:https://doi.org/10.1002/emp2.13117
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https://doi.org/10.1002/emp2.13117

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