Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59520, first published .
Development and Validation of a Machine Learning Model for Early Prediction of Delirium in Intensive Care Units Using Continuous Physiological Data: Retrospective Study

Development and Validation of a Machine Learning Model for Early Prediction of Delirium in Intensive Care Units Using Continuous Physiological Data: Retrospective Study

Development and Validation of a Machine Learning Model for Early Prediction of Delirium in Intensive Care Units Using Continuous Physiological Data: Retrospective Study

Chanmin Park   1 , MS ;   Changho Han   1 , MD, PhD ;   Su Kyeong Jang   2 , MS ;   Hyungjun Kim   2 , MS ;   Sora Kim   3 , RN, BSN ;   Byung Hee Kang   4 , MD ;   Kyoungwon Jung   4 , MD, PhD ;   Dukyong Yoon   1 , MD, PhD

1 Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea

2 BUD.on Inc., Seoul, Republic of Korea

3 Ajou University Hospital Gyeonggi South Regional Trauma Center, Suwon, Republic of Korea

4 Department of Surgery, Division of Trauma Surgery, Ajou University School of Medicine, Suwon, Republic of Korea

Corresponding Author:

  • Dukyong Yoon, MD, PhD
  • Department of Biomedical Systems Informatics
  • Yonsei University College of Medicine
  • 50-1 Yonsei-ro, Seodaemun-gu
  • Seoul, 03722
  • Republic of Korea
  • Phone: 82 31 5189 8450
  • Email: dukyong.yoon@yonsei.ac.kr