Cargando…
Correction: Use of Deep Learning to Predict Acute Kidney Injury After Intravenous Contrast Media Administration: Prediction Model Development Study
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8596285/ https://www.ncbi.nlm.nih.gov/pubmed/34727045 http://dx.doi.org/10.2196/34411 |
_version_ | 1784600331960713216 |
---|---|
author | Yun, Donghwan Cho, Semin Kim, Yong Chul Kim, Dong Ki Oh, Kook-Hwan Joo, Kwon Wook Kim, Yon Su Han, Seung Seok |
author_facet | Yun, Donghwan Cho, Semin Kim, Yong Chul Kim, Dong Ki Oh, Kook-Hwan Joo, Kwon Wook Kim, Yon Su Han, Seung Seok |
author_sort | Yun, Donghwan |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-8596285 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-85962852021-12-07 Correction: Use of Deep Learning to Predict Acute Kidney Injury After Intravenous Contrast Media Administration: Prediction Model Development Study Yun, Donghwan Cho, Semin Kim, Yong Chul Kim, Dong Ki Oh, Kook-Hwan Joo, Kwon Wook Kim, Yon Su Han, Seung Seok JMIR Med Inform Corrigenda and Addenda JMIR Publications 2021-11-02 /pmc/articles/PMC8596285/ /pubmed/34727045 http://dx.doi.org/10.2196/34411 Text en ©Donghwan Yun, Semin Cho, Yong Chul Kim, Dong Ki Kim, Kook-Hwan Oh, Kwon Wook Joo, Yon Su Kim, Seung Seok Han. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 02.11.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Corrigenda and Addenda Yun, Donghwan Cho, Semin Kim, Yong Chul Kim, Dong Ki Oh, Kook-Hwan Joo, Kwon Wook Kim, Yon Su Han, Seung Seok Correction: Use of Deep Learning to Predict Acute Kidney Injury After Intravenous Contrast Media Administration: Prediction Model Development Study |
title | Correction: Use of Deep Learning to Predict Acute Kidney Injury After Intravenous Contrast Media Administration: Prediction Model Development Study |
title_full | Correction: Use of Deep Learning to Predict Acute Kidney Injury After Intravenous Contrast Media Administration: Prediction Model Development Study |
title_fullStr | Correction: Use of Deep Learning to Predict Acute Kidney Injury After Intravenous Contrast Media Administration: Prediction Model Development Study |
title_full_unstemmed | Correction: Use of Deep Learning to Predict Acute Kidney Injury After Intravenous Contrast Media Administration: Prediction Model Development Study |
title_short | Correction: Use of Deep Learning to Predict Acute Kidney Injury After Intravenous Contrast Media Administration: Prediction Model Development Study |
title_sort | correction: use of deep learning to predict acute kidney injury after intravenous contrast media administration: prediction model development study |
topic | Corrigenda and Addenda |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8596285/ https://www.ncbi.nlm.nih.gov/pubmed/34727045 http://dx.doi.org/10.2196/34411 |
work_keys_str_mv | AT yundonghwan correctionuseofdeeplearningtopredictacutekidneyinjuryafterintravenouscontrastmediaadministrationpredictionmodeldevelopmentstudy AT chosemin correctionuseofdeeplearningtopredictacutekidneyinjuryafterintravenouscontrastmediaadministrationpredictionmodeldevelopmentstudy AT kimyongchul correctionuseofdeeplearningtopredictacutekidneyinjuryafterintravenouscontrastmediaadministrationpredictionmodeldevelopmentstudy AT kimdongki correctionuseofdeeplearningtopredictacutekidneyinjuryafterintravenouscontrastmediaadministrationpredictionmodeldevelopmentstudy AT ohkookhwan correctionuseofdeeplearningtopredictacutekidneyinjuryafterintravenouscontrastmediaadministrationpredictionmodeldevelopmentstudy AT jookwonwook correctionuseofdeeplearningtopredictacutekidneyinjuryafterintravenouscontrastmediaadministrationpredictionmodeldevelopmentstudy AT kimyonsu correctionuseofdeeplearningtopredictacutekidneyinjuryafterintravenouscontrastmediaadministrationpredictionmodeldevelopmentstudy AT hanseungseok correctionuseofdeeplearningtopredictacutekidneyinjuryafterintravenouscontrastmediaadministrationpredictionmodeldevelopmentstudy |