Machine learning-based prediction of delirium in older patients with chronic kidney disease requiring intensive care: A hospital-based retrospective cohort study.

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Title: Machine learning-based prediction of delirium in older patients with chronic kidney disease requiring intensive care: A hospital-based retrospective cohort study.
Authors: Wu CR; School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan., Chang YC; Graduate Institute of Data Science, Taipei Medical University, Taipei City, Taiwan.; Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei City, Taiwan., Tranyor V; Professor of Healthy Ageing, School of Health, University of the Sunshine Coast, 90, Sippy Downs Drive, QLD, 4556, Australia; Professor of Dementia Research, Warrigal, Pioneer Drive, Oak Flats, NSW, 2529, Australia; Adjunct Professor, School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan., Shen Hsiao ST; School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan; Special Assistant, Superintendent Office, Taipei Medical University Hospital, Taipei City, Taiwan., Guo SL; School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan; Department of Medical Education, Taipei Medical University Hospital, Taipei, Taiwan., Lin SC; Department of Nursing, Taipei Medical University Hospital, Taipei City, Taiwan., Hou SK; Department of Emergency Medicine, Taipei Medical University Hospital, Taipei City, Taiwan; Department of Emergency Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan., Chiu HY; School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan; Department of Nursing, Taipei Medical University Hospital, Taipei City, Taiwan. Electronic address: hychiu0315@tmu.edu.tw.
Source: Journal of psychosomatic research [J Psychosom Res] 2026 Jan; Vol. 200, pp. 112454. Date of Electronic Publication: 2025 Nov 15.
Publication Type: Journal Article
Journal Info: Publisher: Pergamon Press Country of Publication: England NLM ID: 0376333 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1360 (Electronic) Linking ISSN: 00223999 NLM ISO Abbreviation: J Psychosom Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-1360
DOI:10.1016/j.jpsychores.2025.112454