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Algorithms for the Capture and Adjudication of Prevalent and Incident Diabetes in UK Biobank

Sophie V Eastwood, Rohini Mathur, Mark Atkinson Orcid Logo, Sinead Brophy Orcid Logo, Cathie Sudlow, Robin Flaig, Simon de Lusignan, Naomi Allen, Nishi Chaturvedi

PLOS ONE, Volume: 11, Issue: 9, Start page: e0162388

Swansea University Authors: Mark Atkinson Orcid Logo, Sinead Brophy Orcid Logo

Published in: PLOS ONE
ISSN: 1932-6203
Published: Public Library of Science (PLoS) 2016
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa30805
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first_indexed 2016-10-24T13:17:03Z
last_indexed 2020-10-23T02:41:09Z
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spelling 2020-10-22T18:56:29.2703667 v2 30805 2016-10-24 Algorithms for the Capture and Adjudication of Prevalent and Incident Diabetes in UK Biobank 8f85ae301cc97a48eaf58fe343c5a797 0000-0003-4237-3588 Mark Atkinson Mark Atkinson true false 84f5661b35a729f55047f9e793d8798b 0000-0001-7417-2858 Sinead Brophy Sinead Brophy true false 2016-10-24 HDAT Journal Article PLOS ONE 11 9 e0162388 Public Library of Science (PLoS) 1932-6203 15 9 2016 2016-09-15 10.1371/journal.pone.0162388 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2020-10-22T18:56:29.2703667 2016-10-24T11:38:00.2369625 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Sophie V Eastwood 1 Rohini Mathur 2 Mark Atkinson 0000-0003-4237-3588 3 Sinead Brophy 0000-0001-7417-2858 4 Cathie Sudlow 5 Robin Flaig 6 Simon de Lusignan 7 Naomi Allen 8 Nishi Chaturvedi 9 0030805-21112016111333.PDF journalpone0155181v2.PDF 2016-11-21T11:13:33.2170000 Output 1190504 application/pdf Version of Record true 2016-11-21T00:00:00.0000000 Creative Commons Attribution License 4.0 true eng https://creativecommons.org/licenses/by/4.0/
title Algorithms for the Capture and Adjudication of Prevalent and Incident Diabetes in UK Biobank
spellingShingle Algorithms for the Capture and Adjudication of Prevalent and Incident Diabetes in UK Biobank
Mark Atkinson
Sinead Brophy
title_short Algorithms for the Capture and Adjudication of Prevalent and Incident Diabetes in UK Biobank
title_full Algorithms for the Capture and Adjudication of Prevalent and Incident Diabetes in UK Biobank
title_fullStr Algorithms for the Capture and Adjudication of Prevalent and Incident Diabetes in UK Biobank
title_full_unstemmed Algorithms for the Capture and Adjudication of Prevalent and Incident Diabetes in UK Biobank
title_sort Algorithms for the Capture and Adjudication of Prevalent and Incident Diabetes in UK Biobank
author_id_str_mv 8f85ae301cc97a48eaf58fe343c5a797
84f5661b35a729f55047f9e793d8798b
author_id_fullname_str_mv 8f85ae301cc97a48eaf58fe343c5a797_***_Mark Atkinson
84f5661b35a729f55047f9e793d8798b_***_Sinead Brophy
author Mark Atkinson
Sinead Brophy
author2 Sophie V Eastwood
Rohini Mathur
Mark Atkinson
Sinead Brophy
Cathie Sudlow
Robin Flaig
Simon de Lusignan
Naomi Allen
Nishi Chaturvedi
format Journal article
container_title PLOS ONE
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container_issue 9
container_start_page e0162388
publishDate 2016
institution Swansea University
issn 1932-6203
doi_str_mv 10.1371/journal.pone.0162388
publisher Public Library of Science (PLoS)
college_str Faculty of Medicine, Health and Life Sciences
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hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
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published_date 2016-09-15T03:37:32Z
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