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

Artificial Intelligence (2129) Clinical Information and Decision Making (1915) Machine Learning (2076) Postoperative Monitoring and Telemonitoring (190) New and Emerging Methods and Tools in Surgery and Anesthesiology (54) Nephrology/Renal Disorders (99)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62853, first published .
A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation

A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation

A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation

Authors of this article:

Ji Won Min1 Author Orcid Image ;   Jae-Hong Min2 Author Orcid Image ;   Se-Hyun Chang3 Author Orcid Image ;   Byung Ha Chung4 Author Orcid Image ;   Eun Sil Koh5 Author Orcid Image ;   Young Soo Kim6 Author Orcid Image ;   Hyung Wook Kim7 Author Orcid Image ;   Tae Hyun Ban8 Author Orcid Image ;   Seok Joon Shin9 Author Orcid Image ;   In Young Choi10 Author Orcid Image ;   Hye Eun Yoon9 Author Orcid Image
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