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

Clinical Information and Decision Making (1915) Machine Learning (2076) Decision Support for Health Professionals (1539) Clinical Informatics (1325) Artificial Intelligence (2129) Nephrology/Renal Disorders (99)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52786, first published .
Major Adverse Kidney Events in Hospitalized Older Patients With Acute Kidney Injury: Machine Learning–Based Model Development and Validation Study

Major Adverse Kidney Events in Hospitalized Older Patients With Acute Kidney Injury: Machine Learning–Based Model Development and Validation Study

Major Adverse Kidney Events in Hospitalized Older Patients With Acute Kidney Injury: Machine Learning–Based Model Development and Validation Study

Authors of this article:

Xiao-Qin Luo1 Author Orcid Image ;   Ning-Ya Zhang2 Author Orcid Image ;   Ying-Hao Deng3 Author Orcid Image ;   Hong-Shen Wang4 Author Orcid Image ;   Yi-Xin Kang5 Author Orcid Image ;   Shao-Bin Duan5 Author Orcid Image
Article Authors Cited by (5) Tweetations (1) Metrics

Journals

  1. Silva D, Gorayeb-Polacchini F, Moura A, Rodrigues C, Younes-Ibrahim M, Rocha E, Neiva M, Rocha P, Abreu P, Moura-Neto J. Posicionamento da Sociedade Brasileira de Nefrologia sobre a recusa e a descontinuação da diálise. Brazilian Journal of Nephrology 2025;47(3) View
  2. Silva D, Gorayeb-Polacchini F, Moura A, Rodrigues C, Younes-Ibrahim M, Rocha E, Neiva M, Rocha P, Abreu P, Moura-Neto J. Position statement of the Brazilian Society of Nephrology on the refusal and discontinuation of dialysis. Brazilian Journal of Nephrology 2025;47(3) View
  3. Stottlemyer B, Kellum J, Bihorac A, Ozrazgat-Baslanti T, Murugan R, Chang C, Amatullah N, Tran T, Lukan C, Elder M, Adiyeke E, Ren Y, Ricketts D, Emanuele B, Rashidi P, Kane-Gill S. Multi-hospital electronic decision support for drug-associated acute kidney injury (MEnD-AKI): Study protocol for a randomized clinical trial. Contemporary Clinical Trials 2025;157:108055 View
  4. Gao B, Jin H, Zhang Y, Chen J. An Interpretable Machine Learning Model for Early Multitemporal Prediction of Onset of Acute Kidney Injury in Intensive Care Unit Patients with Severe Trauma. Journal of Intensive Care Medicine 2025 View
  5. La A, Hoste E, Koyner J. ICU digital health tools and biomarkers in renal system care. Current Opinion in Critical Care 2025;31(6):628 View