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How to validate a diagnosis recorded in electronic health records
File(s)
Author(s)
Nissen, Francis
Quint, Jennifer K
Morales, Daniel R
Douglas, Ian J
Type
Journal Article
Abstract
Systematic measurement errors in electronic health record databases can lead to large inferential errors. Validation techniques can help determine the degree of these errors and therefore aid in the interpretation of findings. http://ow.ly/iHQ630np4xU.
Date Issued
2019-03-01
Date Acceptance
2019-02-28
Citation
Breathe, 2019, 15 (1), pp.64-68
URI
DOI
ISSN
2073-4735
Publisher
European Respiratory Society
Start Page
64
End Page
68
Journal / Book Title
Breathe
Volume
15
Issue
1
Copyright Statement
©ERS 2019 Breathe articles are open access and distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/30838062
PII: EDU-0344-2018
Subjects
Science & Technology
Life Sciences & Biomedicine
Respiratory System
BIG DATA
ASTHMA
OPPORTUNITIES
VALIDITY
RISK
Publication Status
Published
Coverage Spatial
England
Date Publish Online
2019-03-01