No Cover Image

Conference Paper/Proceeding/Abstract 1095 views

Mining textual data from primary healthcare records: Automatic identification of patient phenotype cohorts

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

IEEE Joint International Conference on Neural Networks, Pages: 3621 - 3627

Swansea University Authors: Shang-ming Zhou Orcid Logo, Sinead Brophy Orcid Logo

Full text not available from this repository: check for access using links below.

DOI (Published version): 10.1109/IJCNN.2014.6889494

Published in: IEEE Joint International Conference on Neural Networks
Published: Beijing, China IEEE 2014
URI: https://cronfa.swan.ac.uk/Record/cronfa18975
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2015-11-20T01:47:43Z
last_indexed 2018-02-09T04:54:04Z
id cronfa18975
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2016-11-17T16:25:21.5503290</datestamp><bib-version>v2</bib-version><id>18975</id><entry>2014-10-29</entry><title>Mining textual data from primary healthcare records: Automatic identification of patient phenotype cohorts</title><swanseaauthors><author><sid>118578a62021ba8ef61398da0a8750da</sid><ORCID>0000-0002-0719-9353</ORCID><firstname>Shang-ming</firstname><surname>Zhou</surname><name>Shang-ming Zhou</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>84f5661b35a729f55047f9e793d8798b</sid><ORCID>0000-0001-7417-2858</ORCID><firstname>Sinead</firstname><surname>Brophy</surname><name>Sinead Brophy</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2014-10-29</date><deptcode>BMS</deptcode><abstract></abstract><type>Conference Paper/Proceeding/Abstract</type><journal>IEEE Joint International Conference on Neural Networks</journal><paginationStart>3621</paginationStart><paginationEnd>3627</paginationEnd><publisher>IEEE</publisher><placeOfPublication>Beijing, China</placeOfPublication><keywords/><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2014</publishedYear><publishedDate>2014-12-31</publishedDate><doi>10.1109/IJCNN.2014.6889494</doi><url/><notes></notes><college>COLLEGE NANME</college><department>Biomedical Sciences</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>BMS</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2016-11-17T16:25:21.5503290</lastEdited><Created>2014-10-29T16:13:54.7776623</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Medicine</level></path><authors><author><firstname>Shang-ming</firstname><surname>Zhou</surname><orcid>0000-0002-0719-9353</orcid><order>1</order></author><author><firstname>Muhammad A</firstname><surname>Rahman</surname><order>2</order></author><author><firstname>Mark</firstname><surname>Atkinson</surname><order>3</order></author><author><firstname>Sinead</firstname><surname>Brophy</surname><orcid>0000-0001-7417-2858</orcid><order>4</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2016-11-17T16:25:21.5503290 v2 18975 2014-10-29 Mining textual data from primary healthcare records: Automatic identification of patient phenotype cohorts 118578a62021ba8ef61398da0a8750da 0000-0002-0719-9353 Shang-ming Zhou Shang-ming Zhou true false 84f5661b35a729f55047f9e793d8798b 0000-0001-7417-2858 Sinead Brophy Sinead Brophy true false 2014-10-29 BMS Conference Paper/Proceeding/Abstract IEEE Joint International Conference on Neural Networks 3621 3627 IEEE Beijing, China 31 12 2014 2014-12-31 10.1109/IJCNN.2014.6889494 COLLEGE NANME Biomedical Sciences COLLEGE CODE BMS Swansea University 2016-11-17T16:25:21.5503290 2014-10-29T16:13:54.7776623 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Shang-ming Zhou 0000-0002-0719-9353 1 Muhammad A Rahman 2 Mark Atkinson 3 Sinead Brophy 0000-0001-7417-2858 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
Shang-ming Zhou
Sinead Brophy
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 118578a62021ba8ef61398da0a8750da
84f5661b35a729f55047f9e793d8798b
author_id_fullname_str_mv 118578a62021ba8ef61398da0a8750da_***_Shang-ming Zhou
84f5661b35a729f55047f9e793d8798b_***_Sinead Brophy
author Shang-ming Zhou
Sinead Brophy
author2 Shang-ming Zhou
Muhammad A Rahman
Mark Atkinson
Sinead Brophy
format Conference Paper/Proceeding/Abstract
container_title IEEE Joint International Conference on Neural Networks
container_start_page 3621
publishDate 2014
institution Swansea University
doi_str_mv 10.1109/IJCNN.2014.6889494
publisher IEEE
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 2014-12-31T03:22:15Z
_version_ 1763750692198023168
score 11.037166