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

Journal: JMIR formative research
PMID: 39895101

Abstract

BACKGROUND: The incidence of delirium in patients with burns receiving treatment in the intensive care unit (ICU) is high, reaching up to 77%, and has been associated with increased mortality rates. Therefore, early identification of patients at high risk of delirium onset is essential for improving treatment strategies.

Authors

  • Ryo Esumi
    Department of Molecular Pathobiology and Cell Adhesion Biology, Mie University Graduate School of Medicine, Mie University, Tsu, Japan.
  • Hiroki Funao
    Department of Practical Nursing, Mie University Graduate School of Medicine, Tsu city, Japan.
  • Eiji Kawamoto
    Department of Molecular Pathobiology and Cell Adhesion Biology, Mie University Graduate School of Medicine, Mie University, Tsu, Japan.
  • Ryota Sakamoto
    Department of Medical Informatics, Mie University Hospital, Tsu city, Japan.
  • Asami Ito-Masui
    Department of Molecular Pathobiology and Cell Adhesion Biology, Mie University Graduate School of Medicine, Mie University, Tsu, Japan.
  • Fumito Okuno
    Department of Emergency and Critical Care Center, Mie University Hospital, Tsu city, Japan.
  • Toru Shinkai
    Department of Emergency and Critical Care Center, Mie University Hospital, Tsu city, Japan.
  • Atsuya Hane
    Department of Emergency and Critical Care Center, Mie University Hospital, Tsu city, Japan.
  • Kaoru Ikejiri
    Department of Emergency and Critical Care Center, Mie University Hospital, Tsu city, Japan.
  • Yuichi Akama
    Department of Molecular Pathobiology and Cell Adhesion Biology, Mie University Graduate School of Medicine, Mie University, Tsu, Japan.
  • Arong Gaowa
    Department of Molecular Pathobiology and Cell Adhesion Biology, Mie University Graduate School of Medicine, Mie University, Tsu, Japan.
  • Eun Jeong Park
    Department of Molecular Pathobiology and Cell Adhesion Biology, Mie University Graduate School of Medicine, Mie University, Tsu, Japan.
  • Ryo Momosaki
    Department of Rehabilitation Medicine, Mie University Graduate School of Medicine, Tsu 514-8407, Japan.
  • Ryuji Kaku
    Department of Anesthesiology, Mie University Hospital, Tsu city, Japan.
  • Motomu Shimaoka
    Department of Molecular Pathobiology and Cell Adhesion Biology, Mie University Graduate School of Medicine, Mie University, Tsu, Japan.

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