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

Artificial Intelligence (1754) Surgery, Trauma and Surgical Sciences (169) Clinical Informatics (1168) Clinical Information and Decision Making (1665) Machine Learning (1748) Military Medicine (37)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58740, first published .
Enhancing Performance of the National Field Triage Guidelines Using Machine Learning: Development of a Prehospital Triage Model to Predict Severe Trauma

Enhancing Performance of the National Field Triage Guidelines Using Machine Learning: Development of a Prehospital Triage Model to Predict Severe Trauma

Enhancing Performance of the National Field Triage Guidelines Using Machine Learning: Development of a Prehospital Triage Model to Predict Severe Trauma

Authors of this article:

Qi Chen1 Author Orcid Image ;   Yuchen Qin1 Author Orcid Image ;   Zhichao Jin1 Author Orcid Image ;   Xinxin Zhao2 Author Orcid Image ;   Jia He1 Author Orcid Image ;   Cheng Wu1 Author Orcid Image ;   Bihan Tang3 Author Orcid Image
Article Authors Cited by (1) Tweetations 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