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This paper is in the following e-collection/theme issue:

Responsible Health AI (85) Applications of AI (344) Machine Learning (2229) Clinical Informatics (1444) Clinical Information and Decision Making (2070)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74053, first published .
Assessing Revisit Risk in Emergency Department Patients: Machine Learning Approach

Assessing Revisit Risk in Emergency Department Patients: Machine Learning Approach

Assessing Revisit Risk in Emergency Department Patients: Machine Learning Approach

Authors of this article:

Wang-Chuan Juang1, 2, 3 Author Orcid Image ;   Zheng-Xun Cai4 Author Orcid Image ;   Chia-Mei Chen4 Author Orcid Image ;   Zhi-Hong You4 Author Orcid Image
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Journals

  1. Van Der Haas Y, Roskamp W, Chang-Willems L, van Dongen B, Jansen S, de Jong A, Medeiros de Carvalho R, Melman D, van de Merwe A, Bastian-Sanders M, Overbeek B, Plas R, Vreeburg M, van Dijk T. Evaluating an AI Decision Support System for the Emergency Department: Retrospective Study. JMIR AI 2026;5:e80448 View
  2. Wang Y, Wang S, Zhang K, Liu Z, Ma Q, Ji H, Hou Z, Liu T, Xu X, Wu X, Jin C. Association Between Physician Communication Features and Patient Outcomes in Telemedicine: Retrospective Cross-Sectional Observational Study. Journal of Medical Internet Research 2026;28:e86977 View