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

Saved in:
Bibliographic Details
Title: Machine Learning to Assist in Managing Acute Kidney Injury in General Wards: Multicenter Retrospective Study.
Authors: Cho NJ; Department of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea., Jeong I; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea., Ahn SJ; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea., Gil HW; Department of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea., Kim Y; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea., Park JH; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea., Kang S; Department of Surgery, Korea University Guro Hospital, Seoul, Republic of Korea., Lee H; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.
Source: Journal of medical Internet research [J Med Internet Res] 2025 Mar 18; Vol. 27, pp. e66568. Date of Electronic Publication: 2025 Mar 18.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1438-8871
DOI:10.2196/66568