Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65190, first published .
Machine Learning–Based Prediction of Delirium and Risk Factor Identification in Intensive Care Unit Patients With Burns: Retrospective Observational Study

Machine Learning–Based Prediction of Delirium and Risk Factor Identification in Intensive Care Unit Patients With Burns: Retrospective Observational Study

Machine Learning–Based Prediction of Delirium and Risk Factor Identification in Intensive Care Unit Patients With Burns: Retrospective Observational Study

Ryo Esumi   1 * , MD, PhD ;   Hiroki Funao   2 * , MSc ;   Eiji Kawamoto   1 , MD, PhD ;   Ryota Sakamoto   3 , PhD ;   Asami Ito-Masui   1 , MD, PhD ;   Fumito Okuno   4 , MD ;   Toru Shinkai   4 , MD, PhD ;   Atsuya Hane   4 , MD ;   Kaoru Ikejiri   4 , MD ;   Yuichi Akama   1 , MD, PhD ;   Arong Gaowa   1 , PhD ;   Eun Jeong Park   1 , PhD ;   Ryo Momosaki   5 , MD, PhD ;   Ryuji Kaku   6 , MD, PhD ;   Motomu Shimaoka   1 , MD, PhD

1 Department of Molecular Pathobiology and Cell Adhesion Biology, Mie University Graduate School of Medicine, Mie University, Tsu, Japan

2 Department of Practical Nursing, Mie University Graduate School of Medicine, Tsu city, Japan

3 Department of Medical Informatics, Mie University Hospital, Tsu city, Japan

4 Department of Emergency and Critical Care Center, Mie University Hospital, Tsu city, Japan

5 Department of Rehabilitation Medicine, Mie University Graduate School of Medicine, Tsu city, Japan

6 Department of Anesthesiology, Mie University Hospital, Tsu city, Japan

*these authors contributed equally

Corresponding Author:

  • Eiji Kawamoto, MD, PhD
  • Department of Molecular Pathobiology and Cell Adhesion Biology, Mie University Graduate School of Medicine
  • Mie University
  • Edobashi 2-174
  • Tsu, 5140001
  • Japan
  • Phone: 81 0592321111
  • Email: a_2.uk@mac.com