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Data-driven drug safety signal detection methods in pharmacovigilance using electronic primary care records: A population based study

Shang-Ming Zhou, Rahman Muhammad, Ronan Lyons, Sinead Brophy Orcid Logo

International Journal of Population Data Science, Volume: 1, Issue: 1

Swansea University Author: Sinead Brophy Orcid Logo

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Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa51257
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first_indexed 2019-07-30T16:34:42Z
last_indexed 2019-08-09T16:31:48Z
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spelling 2019-08-08T14:29:12.7829372 v2 51257 2019-07-30 Data-driven drug safety signal detection methods in pharmacovigilance using electronic primary care records: A population based study 84f5661b35a729f55047f9e793d8798b 0000-0001-7417-2858 Sinead Brophy Sinead Brophy true false 2019-07-30 HDAT Journal Article International Journal of Population Data Science 1 1 2399-4908 18 4 2017 2017-04-18 10.23889/ijpds.v1i1.113 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2019-08-08T14:29:12.7829372 2019-07-30T08:25:18.4040779 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Shang-Ming Zhou 1 Rahman Muhammad 2 Ronan Lyons 3 Sinead Brophy 0000-0001-7417-2858 4 0051257-08082019142751.pdf 51257.pdf 2019-08-08T14:27:51.4800000 Output 213034 application/pdf Version of Record true 2019-08-07T00:00:00.0000000 Released under the terms of a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND). true eng
title Data-driven drug safety signal detection methods in pharmacovigilance using electronic primary care records: A population based study
spellingShingle Data-driven drug safety signal detection methods in pharmacovigilance using electronic primary care records: A population based study
Sinead Brophy
title_short Data-driven drug safety signal detection methods in pharmacovigilance using electronic primary care records: A population based study
title_full Data-driven drug safety signal detection methods in pharmacovigilance using electronic primary care records: A population based study
title_fullStr Data-driven drug safety signal detection methods in pharmacovigilance using electronic primary care records: A population based study
title_full_unstemmed Data-driven drug safety signal detection methods in pharmacovigilance using electronic primary care records: A population based study
title_sort Data-driven drug safety signal detection methods in pharmacovigilance using electronic primary care records: A population based study
author_id_str_mv 84f5661b35a729f55047f9e793d8798b
author_id_fullname_str_mv 84f5661b35a729f55047f9e793d8798b_***_Sinead Brophy
author Sinead Brophy
author2 Shang-Ming Zhou
Rahman Muhammad
Ronan Lyons
Sinead Brophy
format Journal article
container_title International Journal of Population Data Science
container_volume 1
container_issue 1
publishDate 2017
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v1i1.113
college_str Faculty of Medicine, Health and Life Sciences
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hierarchy_top_id facultyofmedicinehealthandlifesciences
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 2017-04-18T04:03:04Z
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