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Routinely Identifying frailty: Implementing the electronic Frailty Index in the Secure Anonymised Information Linkage Databank

Joe Hollinghurst, Ashley Akbari Orcid Logo, Sarah Rodgers, Andrew Clegg

International Journal of Population Data Science, Volume: 3, Issue: 2

Swansea University Author: Ashley Akbari Orcid Logo

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DOI (Published version): 10.23889/ijpds.v3i2.484

Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa43476
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first_indexed 2018-08-15T12:57:32Z
last_indexed 2018-09-19T03:55:25Z
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spelling 2018-09-18T19:36:04.3484977 v2 43476 2018-08-15 Routinely Identifying frailty: Implementing the electronic Frailty Index in the Secure Anonymised Information Linkage Databank aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 2018-08-15 HDAT Journal Article International Journal of Population Data Science 3 2 2399-4908 8 6 2018 2018-06-08 10.23889/ijpds.v3i2.484 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2018-09-18T19:36:04.3484977 2018-08-15T08:51:09.1718535 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Joe Hollinghurst 1 Ashley Akbari 0000-0003-0814-0801 2 Sarah Rodgers 3 Andrew Clegg 4 0043476-04092018143614.pdf 43476.pdf 2018-09-04T14:36:14.3230000 Output 209876 application/pdf Version of Record true 2018-09-04T00:00:00.0000000 Open Access under CC BY-NC-ND 4.0 true eng
title Routinely Identifying frailty: Implementing the electronic Frailty Index in the Secure Anonymised Information Linkage Databank
spellingShingle Routinely Identifying frailty: Implementing the electronic Frailty Index in the Secure Anonymised Information Linkage Databank
Ashley Akbari
title_short Routinely Identifying frailty: Implementing the electronic Frailty Index in the Secure Anonymised Information Linkage Databank
title_full Routinely Identifying frailty: Implementing the electronic Frailty Index in the Secure Anonymised Information Linkage Databank
title_fullStr Routinely Identifying frailty: Implementing the electronic Frailty Index in the Secure Anonymised Information Linkage Databank
title_full_unstemmed Routinely Identifying frailty: Implementing the electronic Frailty Index in the Secure Anonymised Information Linkage Databank
title_sort Routinely Identifying frailty: Implementing the electronic Frailty Index in the Secure Anonymised Information Linkage Databank
author_id_str_mv aa1b025ec0243f708bb5eb0a93d6fb52
author_id_fullname_str_mv aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari
author Ashley Akbari
author2 Joe Hollinghurst
Ashley Akbari
Sarah Rodgers
Andrew Clegg
format Journal article
container_title International Journal of Population Data Science
container_volume 3
container_issue 2
publishDate 2018
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v3i2.484
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 1
active_str 0
published_date 2018-06-08T03:54:41Z
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score 10.998002

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