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An Artificial Intelligence-Based Framework for Predicting Emergency Department Overcrowding: Development and Evaluation Study.

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Title: An Artificial Intelligence-Based Framework for Predicting Emergency Department Overcrowding: Development and Evaluation Study.
Authors: Vural O; Department of Electrical and Computer Engineering, School of Engineering, University of Alabama at Birmingham, Birmingham, AL, United States., Ozaydin B; Department of Health Services Administration, School of Health Professions, University of Alabama at Birmingham, Birmingham, AL, United States.; Department of Biomedical Informatics and Data Science, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States., Aram KY; School of Business & Technology, Emporia State University, Emporia, United States., Booth J; Department of Emergency Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States., Lindsey BF; Department of Patient Throughput, University of Alabama at Birmingham Hospital, Birmingham, AL, United States., Ahmed A; Department of Health Services Administration, School of Health Professions, University of Alabama at Birmingham, Birmingham, AL, United States.; Department of Biomedical Informatics and Data Science, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.
Source: JMIR medical informatics [JMIR Med Inform] 2025 Sep 17; Vol. 13, pp. e73960. Date of Electronic Publication: 2025 Sep 17.
Publication Type: Journal Article
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101645109 Publication Model: Electronic Cited Medium: Internet ISSN: 2291-9694 (Electronic) Linking ISSN: 22919694 NLM ISO Abbreviation: JMIR Med Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Vural+O%22">Vural O</searchLink>; Department of Electrical and Computer Engineering, School of Engineering, University of Alabama at Birmingham, Birmingham, AL, United States.<br /><searchLink fieldCode="AU" term="%22Ozaydin+B%22">Ozaydin B</searchLink>; Department of Health Services Administration, School of Health Professions, University of Alabama at Birmingham, Birmingham, AL, United States.; Department of Biomedical Informatics and Data Science, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.<br /><searchLink fieldCode="AU" term="%22Aram+KY%22">Aram KY</searchLink>; School of Business & Technology, Emporia State University, Emporia, United States.<br /><searchLink fieldCode="AU" term="%22Booth+J%22">Booth J</searchLink>; Department of Emergency Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.<br /><searchLink fieldCode="AU" term="%22Lindsey+BF%22">Lindsey BF</searchLink>; Department of Patient Throughput, University of Alabama at Birmingham Hospital, Birmingham, AL, United States.<br /><searchLink fieldCode="AU" term="%22Ahmed+A%22">Ahmed A</searchLink>; Department of Health Services Administration, School of Health Professions, University of Alabama at Birmingham, Birmingham, AL, United States.; Department of Biomedical Informatics and Data Science, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.
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