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

Machine Learning (2065) Decision Support for Health Professionals (1530) Coronary Heart Disease (109) Artificial Intelligence (2106) Cardiac Risk and Cardiac Risk Calculators (101) Big Data (307) Nephrology/Renal Disorders (99)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72349, first published .
Machine Learning for the Prediction of Acute Kidney Injury in Critically Ill Patients With Coronary Heart Disease: Algorithm Development and Validation

Machine Learning for the Prediction of Acute Kidney Injury in Critically Ill Patients With Coronary Heart Disease: Algorithm Development and Validation

Machine Learning for the Prediction of Acute Kidney Injury in Critically Ill Patients With Coronary Heart Disease: Algorithm Development and Validation

Authors of this article:

Yike Li1 Author Orcid Image ;   Mingyang Xiao1 Author Orcid Image ;   Yaqian Li1 Author Orcid Image ;   Lulu Lv1 Author Orcid Image ;   Shanshan Zhang1 Author Orcid Image ;   Yuhui Liu1 Author Orcid Image ;   Juan Zhang1 Author Orcid Image
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Journals

  1. Garcés M, García J, Montoya J, Triana C, Hernández Rincón E. Artificial intelligence-based models for clinical prognosis at the end of life in the ICU. International Journal of Medical Informatics 2026;206:106156 View