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

Clinical Information and Decision Making (1917) Nephrology/Renal Disorders (99) Machine Learning (2077) Clinical Informatics (1326)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66568, first published .
Machine Learning to Assist in Managing Acute Kidney Injury in General Wards: Multicenter Retrospective Study

Machine Learning to Assist in Managing Acute Kidney Injury in General Wards: Multicenter Retrospective Study

Machine Learning to Assist in Managing Acute Kidney Injury in General Wards: Multicenter Retrospective Study

Authors of this article:

Nam-Jun Cho1 Author Orcid Image ;   Inyong Jeong2 Author Orcid Image ;   Se-Jin Ahn2 Author Orcid Image ;   Hyo-Wook Gil1 Author Orcid Image ;   Yeongmin Kim2 Author Orcid Image ;   Jin-Hyun Park2 Author Orcid Image ;   Sanghee Kang3 Author Orcid Image ;   Hwamin Lee2 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Nam-Jun Cho   1 * , MD ;   Inyong Jeong   2 * , MS ;   Se-Jin Ahn   2 , BS ;   Hyo-Wook Gil   1 , MD ;   Yeongmin Kim   2 , BS ;   Jin-Hyun Park   2 , MS ;   Sanghee Kang   3 , MD ;   Hwamin Lee   2 , PhD

1 Department of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea

2 Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea

3 Department of Surgery, Korea University Guro Hospital, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Hwamin Lee, PhD
  • Department of Biomedical Informatics
  • Korea University College of Medicine
  • Seongbuk-gu
  • 73 Goryeodae-ro
  • Seoul 02841
  • Republic of Korea
  • Phone: 82 1063205109
  • Email: hwamin@korea.ac.kr