This paper is in the following e-collection/theme issue:

Artificial Intelligence (2129) Clinical Information and Decision Making (1915) Decision Support for Health Professionals (1539) Machine Learning (2076) Intensive Care Unit (ICU) (160) Geriatrics (51) Postoperative Cognitive Dysfunction (POCD) (5) Postoperative Monitoring and Telemonitoring (190)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67258, first published .
Development of a Machine Learning–Based Predictive Model for Postoperative Delirium in Older Adult Intensive Care Unit Patients: Retrospective Study

Development of a Machine Learning–Based Predictive Model for Postoperative Delirium in Older Adult Intensive Care Unit Patients: Retrospective Study

Development of a Machine Learning–Based Predictive Model for Postoperative Delirium in Older Adult Intensive Care Unit Patients: Retrospective Study

Authors of this article:

Houfeng Li1 Author Orcid Image ;   Qinglai Zang2, 3 Author Orcid Image ;   Qi Li2, 4 Author Orcid Image ;   Yanchen Lin1 Author Orcid Image ;   Jintao Duan5 Author Orcid Image ;   Jing Huang6 Author Orcid Image ;   Huixiu Hu1 Author Orcid Image ;   Ying Zhang1 Author Orcid Image ;   Dengyun Xia7 Author Orcid Image ;   Miao Zhou8 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Viegas A, Von Rekowski C, Araújo R, Viana-Baptista M, Macedo M, Bento L. Predicting ICU Delirium in Critically Ill COVID-19 Patients Using Demographic, Clinical, and Laboratory Admission Data: A Machine Learning Approach. Life 2025;15(7):1045 View
  2. Gordo F. Artificial intelligence, yes � but what do we need?. Revista Española de Enfermedades Digestivas 2025 View
  3. Li X, Hu X, Xu H, Yu P, Ju H. Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review. Frontiers in Medicine 2025;12 View
  4. Wang W, Hou L, Xu C, Zhu M, Guo Y, Zhao R, Duan W, Wang Y, Jin Z, Shi X. Dynamic Cerebral Perfusion Electrical Impedance Tomography: A Neuroimaging Technique for Bedside Cerebral Perfusion Monitoring During Mannitol Dehydration. Bioengineering 2025;12(11):1187 View