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

Clinical Information and Decision Making (1915) Machine Learning (2076) Artificial Intelligence (2129) Clinical Informatics (1325) Decision Support for Health Professionals (1539) Computer-Aided Diagnosis (251)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56382, first published .
Leveraging Machine Learning to Identify Subgroups of Misclassified Patients in the Emergency Department: Multicenter Proof-of-Concept Study

Leveraging Machine Learning to Identify Subgroups of Misclassified Patients in the Emergency Department: Multicenter Proof-of-Concept Study

Leveraging Machine Learning to Identify Subgroups of Misclassified Patients in the Emergency Department: Multicenter Proof-of-Concept Study

Authors of this article:

Sage Wyatt1 Author Orcid Image ;   Dagfinn Lunde Markussen2, 3 Author Orcid Image ;   Mounir Haizoune4 Author Orcid Image ;   Anders Strand Vestbø5 Author Orcid Image ;   Yeneabeba Tilahun Sima1 Author Orcid Image ;   Maria Ilene Sandboe6 Author Orcid Image ;   Marcus Landschulze7 Author Orcid Image ;   Hauke Bartsch8 Author Orcid Image ;   Christopher Martin Sauer9, 10, 11 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Berikol G, Kanbakan A, Ilhan B, Doğanay F. Mapping artificial intelligence models in emergency medicine: A scoping review on artificial intelligence performance in emergency care and education. Turkish Journal of Emergency Medicine 2025;25(2):67 View
  2. Hosseinzadeh M, Navaei A, Sahranavard J, Amini P. Evaluation of Knowledge and Ability of Faculty Members Based on Emergency Severity Index-IV Hospital Triage System. Journal of Preventive, Diagnostic and Treatment Strategies in Medicine 2025;4(2):143 View