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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

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
  5. Frisardi V, Boccardi V. Can geriatric expertise be codified? Why geriatric judgment extends beyond algorithms. European Geriatric Medicine 2026 View
  6. Kong W, Jiang J, Wang Y, Chen J, Wang B, Wang K, Liang Y, Wang J, Li C, Lin Y, Gong H, Liang Y, Bi Y, Lin X. Machine learning-based predictive model for postoperative delirium of elderly patients with coronary heart disease undergoing non-cardiac surgery: a retrospective cohort study. Frontiers in Psychiatry 2026;17 View