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

Journal: Journal of medical Internet research
Published Date:

Abstract

BACKGROUND: Within the trauma system, the emergency department (ED) is the hospital's first contact and is vital for allocating medical resources. However, there is generally limited information about patients that die in the ED.

Authors

  • Seungseok Lee
    Department of Biomedical Engineering, Kyung Hee University, Yong-in, Republic of Korea.
  • Wu Seong Kang
    Department of Trauma Surgery, Wonkwang University Hospital, Iksan-si, Republic of Korea.
  • Do Wan Kim
    Department of Thoracic and Cardiovascular Surgery, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Republic of Korea.
  • Sang Hyun Seo
    Department of Radiology, Wonkwang University Hospital, Iksan, Republic of Korea.
  • Joongsuck Kim
    Department of Trauma Surgery, Jeju Regional Trauma Center, Cheju Halla General Hospital, Jeju, Republic of Korea.
  • Soon Tak Jeong
    Department of Physical Medicine and Rehabilitation, Ansanhyo Hospital, Ansan, Republic of Korea.
  • Dong Keon Yon
    Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
  • Jinseok Lee