Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49283, first published .
An Artificial Intelligence Model for Predicting Trauma Mortality Among Emergency Department Patients in South Korea: Retrospective Cohort Study

An Artificial Intelligence Model for Predicting Trauma Mortality Among Emergency Department Patients in South Korea: Retrospective Cohort Study

An Artificial Intelligence Model for Predicting Trauma Mortality Among Emergency Department Patients in South Korea: Retrospective Cohort Study

Seungseok Lee   1 * , BEng ;   Wu Seong Kang   2 * , MD, PhD ;   Do Wan Kim   3 * , MD ;   Sang Hyun Seo   4 , MD ;   Joongsuck Kim   2 , MD ;   Soon Tak Jeong   5 , MD ;   Dong Keon Yon   6, 7 , MD ;   Jinseok Lee   1 , PhD

1 Department of Biomedical Engineering, Kyung Hee University, Yongin, Republic of Korea

2 Department of Trauma Surgery, Jeju Regional Trauma Center, Cheju Halla General Hospital, Jeju, Republic of Korea

3 Department of Thoracic and Cardiovascular Surgery, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Republic of Korea

4 Department of Radiology, Wonkwang University Hospital, Iksan, Republic of Korea

5 Department of Physical Medicine and Rehabilitation, Ansanhyo Hospital, Ansan, Republic of Korea

6 Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea

7 Center for Digital Health, Medical Research Institute, Kyung Hee University Medical Center, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Jinseok Lee, PhD
  • Department of Biomedical Engineering
  • Kyung Hee University
  • 1732 Deogyeong-daero
  • Giheung-gu
  • Yongin, 17104
  • Republic of Korea
  • Phone: 82 312012570
  • Fax: 82 312012571
  • Email: gonasago@khu.ac.kr