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

Journal: Journal of medical Internet research
PMID: 39348683

Abstract

BACKGROUND: Prehospital trauma triage is essential to get the right patient to the right hospital. However, the national field triage guidelines proposed by the American College of Surgeons have proven to be relatively insensitive when identifying severe traumas.

Authors

  • Qi Chen
    Department of Gastroenterology, Jining First People's Hospital, Jining, China.
  • Yuchen Qin
    Department of Health Statistics, Naval Medical University, Shanghai, China.
  • Zhichao Jin
    State Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang, China.
  • Xinxin Zhao
    School of Medicine, Tongji University, Shanghai, China.
  • Jia He
    Shandong College of Electronic Technology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Shandong Lung Cancer Institute, China.
  • Cheng Wu
    Department of Automation, Tsinghua University, Beijing 100084, China. Electronic address: wuc@tsinghua.edu.cn.
  • Bihan Tang
    Department of Health Management, Naval Medical University, Shanghai, China.

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