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

Clinical Information and Decision Making (1661) Machine Learning (1742) Decision Support for Health Professionals (1342) Clinical Informatics (1165) Artificial Intelligence (1748) Nephrology/Renal Disorders (83)

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
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Major Adverse Kidney Events in Hospitalized Older Patients With Acute Kidney Injury: Machine Learning–Based Model Development and Validation Study https://t.co/GCar79mOzZ #AKI #高齢患者 #腎機能予後 #機械学習 #XGBoost #SHAP #臨床支援ツール #MAKE30 #JMIR #予測モデル

10:09 AM · May 17, 2025

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