Deployable machine learning-based decision support system for tracheostomy in acute burn patients.

Journal: Burns & trauma
Published Date: Jan 1, 2025

Abstract

BACKGROUND: Airway obstruction is a common emergency in acute burns with high mortality. Tracheostomy is the most effective method to keep patency of airway and start mechanical ventilation. However, the indication of tracheostomy is challenging and controversial. We aimed to develop and validate a deployable machine learning (ML)-based decision support system to predict the necessity of tracheostomy for acute burn patients.

Authors

  • Haisheng Li
    School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China.
  • Ni Zhen
    Dance department, Sangmyung University, Seoul, South Korea.
  • Shixu Lin
    School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310058, China.
  • Ning Li
    Department of Respiratory and Critical Care Medicine, Center for Respiratory Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.
  • Yumei Zhang
    Institute of Burn Research, Southwest Hospital, State Key Laboratory of Trauma and Chemical Poisoning, Third Military Medical University (Army Medical University), Chongqing 400038, China.
  • Wei Luo
    Centre for Pattern Recognition and Data Analytics, School of Information Technology, Deakin University, Geelong, Victoria, Australia.
  • Zhenzhen Zhang
    College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China.
  • Xingang Wang
    Department of Orthopedics, Baoji City Hospital of Traditional Chinese Medicine, Baoji, China.
  • Chunmao Han
    The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China.
  • Zhiqiang Yuan
    Department of ultrasound, West China Hospital, Sichuan University, Chengdu, 610041, China.
  • Gaoxing Luo
    Institute of Burn Research, Southwest Hospital, Third Military Medical University, Chongqing, China. Electronic address: logxw@hotmail.com.

Keywords

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