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Use of Deep Learning to Predict Acute Kidney Injury After Intravenous Contrast Media Administration: Prediction Model Development Study (vol 9, e27177, 2021)

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Authors

Yun, Donghwan; Cho, Semin; Kim, Yong Chul; Kim, Dong Ki; Oh, Kook-Hwan; Joo, Kwon Wook; Kim, Yon Su; Han, Seung Seok

Issue Date
2021-11
Publisher
JMIR Publications
Citation
JMIR Medical Informatics, Vol.9 No.11, p. e34411
Abstract
In Use of Deep Learning to Predict Acute Kidney Injury After Intravenous Contrast Media Administration: Prediction Model Development Study (JMIR Med Inform 2021;9(10):e27177), one error was noted. In the originally published paper, names of 5 authors (Yong Chul Kim, Dong Ki Kim, Kwon Wook Joo, Yon Su Kim, and Seung Seok Han) were inadvertently formatted with middle initials instead of the full author names. The full authorship list was listed as follows in the originally published paper. Donghwan Yun, Semin Cho, Yong C Kim, Dong K Kim, Kook-Hwan Oh, Kwon W Joo, Yon S Kim, Seung S Han This has been corrected to: Donghwan Yun, Semin Cho, Yong Chul Kim, Dong Ki Kim, Kook-Hwan Oh, Kwon Wook Joo, Yon Su Kim, Seung Seok Han The correction will appear in the online version of the paper on the JMIR Publications website on November 1, 2021, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.
ISSN
2291-9694
URI
https://hdl.handle.net/10371/205591
DOI
https://doi.org/10.2196/34411
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  • College of Medicine
  • Department of Medicine
Research Area Nephrology, Transplantation, Urology

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