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Comparing feature selection methods for highdimensional imbalanced data: identifying rheumatoid arthritis cohorts from routine data

Fabiola Fernandez-Gutierrez, Jonathan I. Kennedy, Shang-ming Zhou Orcid Logo, Roxanne Cooksey, Mark Atkinson Orcid Logo, Sinead Brophy

2015 International Conference on Industrial Engineering and Systems Management (IESM), Pages: 236 - 241

Swansea University Authors: Shang-ming Zhou Orcid Logo, Mark Atkinson Orcid Logo

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DOI (Published version): 10.1109/IESM.2015.7380164

Published in: 2015 International Conference on Industrial Engineering and Systems Management (IESM)
ISBN: 978-2-9600-5325-8 978-2-9600-5326-5
Published: Seville, Spain 2015 International Conference on Industrial Engineering and Systems Management (IESM) 2015
URI: https://cronfa.swan.ac.uk/Record/cronfa24550
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first_indexed 2015-11-20T01:58:29Z
last_indexed 2019-07-02T19:46:11Z
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spelling 2019-07-02T14:42:33.2858626 v2 24550 2015-11-19 Comparing feature selection methods for highdimensional imbalanced data: identifying rheumatoid arthritis cohorts from routine data 118578a62021ba8ef61398da0a8750da 0000-0002-0719-9353 Shang-ming Zhou Shang-ming Zhou true false 8f85ae301cc97a48eaf58fe343c5a797 0000-0003-4237-3588 Mark Atkinson Mark Atkinson true false 2015-11-19 BMS Conference Paper/Proceeding/Abstract 2015 International Conference on Industrial Engineering and Systems Management (IESM) 236 241 2015 International Conference on Industrial Engineering and Systems Management (IESM) Seville, Spain 978-2-9600-5325-8 978-2-9600-5326-5 31 10 2015 2015-10-31 10.1109/IESM.2015.7380164 COLLEGE NANME Biomedical Sciences COLLEGE CODE BMS Swansea University 2019-07-02T14:42:33.2858626 2015-11-19T15:33:29.0696739 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Fabiola Fernandez-Gutierrez 1 Jonathan I. Kennedy 2 Shang-ming Zhou 0000-0002-0719-9353 3 Roxanne Cooksey 4 Mark Atkinson 0000-0003-4237-3588 5 Sinead Brophy 6
title Comparing feature selection methods for highdimensional imbalanced data: identifying rheumatoid arthritis cohorts from routine data
spellingShingle Comparing feature selection methods for highdimensional imbalanced data: identifying rheumatoid arthritis cohorts from routine data
Shang-ming Zhou
Mark Atkinson
title_short Comparing feature selection methods for highdimensional imbalanced data: identifying rheumatoid arthritis cohorts from routine data
title_full Comparing feature selection methods for highdimensional imbalanced data: identifying rheumatoid arthritis cohorts from routine data
title_fullStr Comparing feature selection methods for highdimensional imbalanced data: identifying rheumatoid arthritis cohorts from routine data
title_full_unstemmed Comparing feature selection methods for highdimensional imbalanced data: identifying rheumatoid arthritis cohorts from routine data
title_sort Comparing feature selection methods for highdimensional imbalanced data: identifying rheumatoid arthritis cohorts from routine data
author_id_str_mv 118578a62021ba8ef61398da0a8750da
8f85ae301cc97a48eaf58fe343c5a797
author_id_fullname_str_mv 118578a62021ba8ef61398da0a8750da_***_Shang-ming Zhou
8f85ae301cc97a48eaf58fe343c5a797_***_Mark Atkinson
author Shang-ming Zhou
Mark Atkinson
author2 Fabiola Fernandez-Gutierrez
Jonathan I. Kennedy
Shang-ming Zhou
Roxanne Cooksey
Mark Atkinson
Sinead Brophy
format Conference Paper/Proceeding/Abstract
container_title 2015 International Conference on Industrial Engineering and Systems Management (IESM)
container_start_page 236
publishDate 2015
institution Swansea University
isbn 978-2-9600-5325-8
978-2-9600-5326-5
doi_str_mv 10.1109/IESM.2015.7380164
publisher 2015 International Conference on Industrial Engineering and Systems Management (IESM)
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
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published_date 2015-10-31T03:29:09Z
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