Development and validation of a deep-learning-based pediatric early warning system: A single-center study.

Journal: Biomedical journal
Published Date:

Abstract

BACKGROUND: Early detection and prompt intervention for clinically deteriorating events are needed to improve clinical outcomes. There have been several attempts at this, including the introduction of rapid response teams (RRTs) with early warning scores. We developed a deep-learning-based pediatric early warning system (pDEWS) and validated its performance.

Authors

  • Seong Jong Park
    Division of Pediatric Critical Care medicine, Department of Pediatrics, Asan Medical Center Children's Hospital, University of Ulsan College of Medicine, 88, Olympic-ro-43-gil, Songpa-gu, Seoul 05505, Korea.
  • Kyung-Jae Cho
    VUNO, Seoul, South Korea.
  • Oyeon Kwon
    VUNO, Seoul, South Korea.
  • Hyunho Park
    VUNO, Seoul, Korea.
  • Yeha Lee
    VUNO, Seoul, Korea.
  • Woo Hyun Shim
    Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Chae Ri Park
    Department of Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Won Kyoung Jhang
    Division of Pediatric Critical Care medicine, Department of Pediatrics, Asan Medical Center Children's Hospital, University of Ulsan College of Medicine, 88, Olympic-ro-43-gil, Songpa-gu, Seoul 05505, Korea.