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Conference Paper/Proceeding/Abstract 16526 views

Mining textual data from primary healthcare records - automatic identification of patient phenotype cohorts

Shang-Ming Zhou, Muhammad A Rahman, Sinead Brophy, Mark Atkinson Orcid Logo

2014 International Joint Conference on Neural Networks

Swansea University Author: Mark Atkinson Orcid Logo

Published in: 2014 International Joint Conference on Neural Networks
Published: 2014
URI: https://cronfa.swan.ac.uk/Record/cronfa20777
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first_indexed 2015-04-21T02:07:29Z
last_indexed 2018-02-09T04:57:40Z
id cronfa20777
recordtype SURis
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spelling 2015-04-20T08:38:43.7660293 v2 20777 2015-04-20 Mining textual data from primary healthcare records - automatic identification of patient phenotype cohorts 8f85ae301cc97a48eaf58fe343c5a797 0000-0003-4237-3588 Mark Atkinson Mark Atkinson true false 2015-04-20 HDAT Conference Paper/Proceeding/Abstract 2014 International Joint Conference on Neural Networks 31 12 2014 2014-12-31 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2015-04-20T08:38:43.7660293 2015-04-20T08:36:48.3445889 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Shang-Ming Zhou 1 Muhammad A Rahman 2 Sinead Brophy 3 Mark Atkinson 0000-0003-4237-3588 4
title Mining textual data from primary healthcare records - automatic identification of patient phenotype cohorts
spellingShingle Mining textual data from primary healthcare records - automatic identification of patient phenotype cohorts
Mark Atkinson
title_short Mining textual data from primary healthcare records - automatic identification of patient phenotype cohorts
title_full Mining textual data from primary healthcare records - automatic identification of patient phenotype cohorts
title_fullStr Mining textual data from primary healthcare records - automatic identification of patient phenotype cohorts
title_full_unstemmed Mining textual data from primary healthcare records - automatic identification of patient phenotype cohorts
title_sort Mining textual data from primary healthcare records - automatic identification of patient phenotype cohorts
author_id_str_mv 8f85ae301cc97a48eaf58fe343c5a797
author_id_fullname_str_mv 8f85ae301cc97a48eaf58fe343c5a797_***_Mark Atkinson
author Mark Atkinson
author2 Shang-Ming Zhou
Muhammad A Rahman
Sinead Brophy
Mark Atkinson
format Conference Paper/Proceeding/Abstract
container_title 2014 International Joint Conference on Neural Networks
publishDate 2014
institution Swansea University
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
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
document_store_str 0
active_str 0
published_date 2014-12-31T03:24:35Z
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score 11.013575

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