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

Ji Won Min   1 * , MD, PhD ;   Jae-Hong Min   2 * , MD ;   Se-Hyun Chang   3 , MS ;   Byung Ha Chung   4 , MD, PhD ;   Eun Sil Koh   5 , MD, PhD ;   Young Soo Kim   6 , MD, PhD ;   Hyung Wook Kim   7 , MD, PhD ;   Tae Hyun Ban   8 , MD, PhD ;   Seok Joon Shin   9 , MD, PhD ;   In Young Choi   10 * , PhD ;   Hye Eun Yoon   9 * , MD, PhD

1 Department of Internal Medicine, Bucheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

2 School of Information, University of California, Berkley, CA, United States

3 Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

4 Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

5 Department of Internal Medicine, Yeouido St. Mary’s Hospital College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

6 Department of Internal Medicine, Uijeongbu St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

7 Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

8 Department of Internal Medicine, Eunpyeong St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

9 Department of Internal Medicine, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

10 Department of Medical Informatics, Graduate School of Healthcare Management & Policy, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Hye Eun Yoon, MD, PhD
  • Department of Internal Medicine
  • Incheon St. Mary’s Hospital, College of Medicine
  • The Catholic University of Korea
  • 56, Dongsu-ro, Bupyeong-gu
  • Incheon
  • Seoul 21431
  • Republic of Korea
  • Phone: 82 032-280-7370
  • Email: berrynana@catholic.ac.kr