Detecting chronic kidney disease by electrocardiography

Although chronic kidney disease (CKD) can be detected by relatively simple blood and urine tests, it remains underdiagnosed even in patients at high risk for the disease. Deep learning-based approaches are now being developed to detect CKD based on electrocardiogram (ECG) data.

Detalles Bibliográficos
Autor principal: Kooman, Jeroen P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Comment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10219928/
https://www.ncbi.nlm.nih.gov/pubmed/37237030
http://dx.doi.org/10.1038/s43856-023-00306-9
_version_ 1785049113550651392
author Kooman, Jeroen P.
author_facet Kooman, Jeroen P.
author_sort Kooman, Jeroen P.
collection PubMed
description Although chronic kidney disease (CKD) can be detected by relatively simple blood and urine tests, it remains underdiagnosed even in patients at high risk for the disease. Deep learning-based approaches are now being developed to detect CKD based on electrocardiogram (ECG) data.
format Online
Article
Text
id pubmed-10219928
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-102199282023-05-28 Detecting chronic kidney disease by electrocardiography Kooman, Jeroen P. Commun Med (Lond) Comment Although chronic kidney disease (CKD) can be detected by relatively simple blood and urine tests, it remains underdiagnosed even in patients at high risk for the disease. Deep learning-based approaches are now being developed to detect CKD based on electrocardiogram (ECG) data. Nature Publishing Group UK 2023-05-26 /pmc/articles/PMC10219928/ /pubmed/37237030 http://dx.doi.org/10.1038/s43856-023-00306-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Comment
Kooman, Jeroen P.
Detecting chronic kidney disease by electrocardiography
title Detecting chronic kidney disease by electrocardiography
title_full Detecting chronic kidney disease by electrocardiography
title_fullStr Detecting chronic kidney disease by electrocardiography
title_full_unstemmed Detecting chronic kidney disease by electrocardiography
title_short Detecting chronic kidney disease by electrocardiography
title_sort detecting chronic kidney disease by electrocardiography
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10219928/
https://www.ncbi.nlm.nih.gov/pubmed/37237030
http://dx.doi.org/10.1038/s43856-023-00306-9
work_keys_str_mv AT koomanjeroenp detectingchronickidneydiseasebyelectrocardiography

Ejemplares similares