Conference Paper/Proceeding/Abstract 421 views 36 downloads
Development of data-driven framework for automatically identifying patient cohorts from linked electronic health records
Fabiola Fernández-Gutiérrez,
Jonathan Kennedy,
Roxanne Cooksey 
,
Mark Atkinson ,
Ernest Choy,
Sinead Brophy ,
Shang-ming Zhou
,
Mark Atkinson ,
Ernest Choy,
Sinead Brophy ,
Shang-ming Zhou
International Journal of Population Data Science, Volume: 1, Issue: 1
Swansea University Authors:
Jonathan Kennedy, Roxanne Cooksey , Mark Atkinson , Sinead Brophy , Shang-ming Zhou
-
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DOI (Published version): 10.23889/ijpds.v1i1.86
Abstract
Development of data-driven framework for automatically identifying patient cohorts from linked electronic health records
| Published in: | International Journal of Population Data Science |
|---|---|
| ISSN: | 2399-4908 |
| Published: |
Swansea University
2017
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa61658 |
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2022-11-08T16:57:01.4905470 v2 61658 2022-10-25 Development of data-driven framework for automatically identifying patient cohorts from linked electronic health records 08163d1f58d7fefcb1c695bcc2e0ef68 Jonathan Kennedy Jonathan Kennedy true false df63826249b712dcb03cb0161d0f3daf 0000-0002-6763-9373 Roxanne Cooksey Roxanne Cooksey true false 8f85ae301cc97a48eaf58fe343c5a797 0000-0003-4237-3588 Mark Atkinson Mark Atkinson true false 84f5661b35a729f55047f9e793d8798b 0000-0001-7417-2858 Sinead Brophy Sinead Brophy true false 118578a62021ba8ef61398da0a8750da 0000-0002-0719-9353 Shang-ming Zhou Shang-ming Zhou true false 2022-10-25 HDAT Conference Paper/Proceeding/Abstract International Journal of Population Data Science 1 1 Swansea University 2399-4908 13 4 2017 2017-04-13 10.23889/ijpds.v1i1.86 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2022-11-08T16:57:01.4905470 2022-10-25T11:35:03.5079706 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Fabiola Fernández-Gutiérrez 1 Jonathan Kennedy 2 Roxanne Cooksey 0000-0002-6763-9373 3 Mark Atkinson 0000-0003-4237-3588 4 Ernest Choy 5 Sinead Brophy 0000-0001-7417-2858 6 Shang-ming Zhou 0000-0002-0719-9353 7 61658__25697__abf715eff45442b980640d7fde2e8bdb.pdf 61658.pdf 2022-11-08T16:55:42.1846706 Output 221513 application/pdf Version of Record true August 2016 Copyright The Authors. Open Access under CC BY-NC-ND 4.0 true eng https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en |
| title |
Development of data-driven framework for automatically identifying patient cohorts from linked electronic health records |
| spellingShingle |
Development of data-driven framework for automatically identifying patient cohorts from linked electronic health records Jonathan Kennedy Roxanne Cooksey Mark Atkinson Sinead Brophy Shang-ming Zhou |
| title_short |
Development of data-driven framework for automatically identifying patient cohorts from linked electronic health records |
| title_full |
Development of data-driven framework for automatically identifying patient cohorts from linked electronic health records |
| title_fullStr |
Development of data-driven framework for automatically identifying patient cohorts from linked electronic health records |
| title_full_unstemmed |
Development of data-driven framework for automatically identifying patient cohorts from linked electronic health records |
| title_sort |
Development of data-driven framework for automatically identifying patient cohorts from linked electronic health records |
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08163d1f58d7fefcb1c695bcc2e0ef68 df63826249b712dcb03cb0161d0f3daf 8f85ae301cc97a48eaf58fe343c5a797 84f5661b35a729f55047f9e793d8798b 118578a62021ba8ef61398da0a8750da |
| author_id_fullname_str_mv |
08163d1f58d7fefcb1c695bcc2e0ef68_***_Jonathan Kennedy df63826249b712dcb03cb0161d0f3daf_***_Roxanne Cooksey 8f85ae301cc97a48eaf58fe343c5a797_***_Mark Atkinson 84f5661b35a729f55047f9e793d8798b_***_Sinead Brophy 118578a62021ba8ef61398da0a8750da_***_Shang-ming Zhou |
| author |
Jonathan Kennedy Roxanne Cooksey Mark Atkinson Sinead Brophy Shang-ming Zhou |
| author2 |
Fabiola Fernández-Gutiérrez Jonathan Kennedy Roxanne Cooksey Mark Atkinson Ernest Choy Sinead Brophy Shang-ming Zhou |
| format |
Conference Paper/Proceeding/Abstract |
| container_title |
International Journal of Population Data Science |
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1 |
| container_issue |
1 |
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2017 |
| institution |
Swansea University |
| issn |
2399-4908 |
| doi_str_mv |
10.23889/ijpds.v1i1.86 |
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Swansea University |
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Faculty of Medicine, Health and Life Sciences |
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Faculty of Medicine, Health and Life Sciences |
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facultyofmedicinehealthandlifesciences |
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Faculty of Medicine, Health and Life Sciences |
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Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine |
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2017-04-13T04:20:38Z |
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