Conference Paper/Proceeding/Abstract 1501 views
Comparing feature selection methods for highdimensional imbalanced data: identifying rheumatoid arthritis cohorts from routine data
Fabiola Fernandez-Gutierrez,
Jonathan I. Kennedy,
Shang-ming Zhou ,
Roxanne Cooksey,
Mark Atkinson ,
Sinead Brophy
2015 International Conference on Industrial Engineering and Systems Management (IESM), Pages: 236 - 241
Swansea University Authors: Shang-ming Zhou , Mark Atkinson
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DOI (Published version): 10.1109/IESM.2015.7380164
Abstract
Comparing feature selection methods for highdimensional imbalanced data: identifying rheumatoid arthritis cohorts from routine data
Published in: | 2015 International Conference on Industrial Engineering and Systems Management (IESM) |
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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
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URI: | https://cronfa.swan.ac.uk/Record/cronfa24550 |
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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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1763751126284369920 |
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11.037166 |