Journal article
An ontological approach to identifying cases of chronic kidney disease from routine primary care data: a cross-sectional study
- Abstract:
-
BACKGROUND:Accurately identifying cases of chronic kidney disease (CKD) from primary care data facilitates the management of patients, and is vital for surveillance and research purposes. Ontologies provide a systematic and transparent basis for clinical case definition and can be used to identify clinical codes relevant to all aspects of CKD care and its diagnosis. METHODS:We used routinely collected primary care data from the Royal College of General Practitioners Research and Surveillance ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- BioMed Central Publisher's website
- Journal:
- BMC Nephrology Journal website
- Volume:
- 19
- Issue:
- 1
- Pages:
- 85
- Publication date:
- 2018-04-10
- Acceptance date:
- 2018-03-22
- DOI:
- EISSN:
-
1471-2369
- Pmid:
-
29636024
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:1013721
- UUID:
-
uuid:04ef5d96-6579-4f10-a624-a896bddeffb6
- Local pid:
- pubs:1013721
- Source identifiers:
-
1013721
- Deposit date:
- 2019-10-22
Terms of use
- Copyright holder:
- Cole et al
- Copyright date:
- 2018
- Notes:
- Copyright © The Author(s) 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Licence:
- CC Attribution (CC BY)
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