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Automated tests for diagnosing and monitoring cognitive impairment: a diagnostic accuracy review

Rabeea'h Aslam Orcid Logo, Vickie Bates, Yenal Dundar, Juliet Hounsome, Marty Richardson, Ashma Krishan, Rumona Dickson, Angela Boland, Eleanor Kotas, Joanne Fisher, Sudip Sikdar, Louise Robinson

Health Technology Assessment, Volume: 20, Issue: 77, Pages: 1 - 74

Swansea University Author: Rabeea'h Aslam Orcid Logo

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DOI (Published version): 10.3310/hta20770

Published in: Health Technology Assessment
ISSN: 1366-5278 2046-4924
Published: National Institute for Health Research 2016
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URI: https://cronfa.swan.ac.uk/Record/cronfa53102
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first_indexed 2020-03-28T04:29:09Z
last_indexed 2020-10-30T04:06:54Z
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spelling 2020-10-29T14:22:16.5709091 v2 53102 2016-08-01 Automated tests for diagnosing and monitoring cognitive impairment: a diagnostic accuracy review 59fdd275cfdafa2f251eb5264a31cc7e 0000-0002-0916-9641 Rabeea'h Aslam Rabeea'h Aslam true false 2016-08-01 HDAT Journal Article Health Technology Assessment 20 77 1 74 National Institute for Health Research 1366-5278 2046-4924 1 10 2016 2016-10-01 10.3310/hta20770 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2020-10-29T14:22:16.5709091 2016-08-01T00:00:00.0000000 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Rabeea'h Aslam 0000-0002-0916-9641 1 Vickie Bates 2 Yenal Dundar 3 Juliet Hounsome 4 Marty Richardson 5 Ashma Krishan 6 Rumona Dickson 7 Angela Boland 8 Eleanor Kotas 9 Joanne Fisher 10 Sudip Sikdar 11 Louise Robinson 12 53102__16960__a3664f2973c94eff830929dadf3bfc2c.pdf 53102.pdf 2020-03-27T18:54:17.0178057 Output 811344 application/pdf Version of Record true Released under the terms of a Non-Commercial Government Licence v2.0. true eng http://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/
title Automated tests for diagnosing and monitoring cognitive impairment: a diagnostic accuracy review
spellingShingle Automated tests for diagnosing and monitoring cognitive impairment: a diagnostic accuracy review
Rabeea'h Aslam
title_short Automated tests for diagnosing and monitoring cognitive impairment: a diagnostic accuracy review
title_full Automated tests for diagnosing and monitoring cognitive impairment: a diagnostic accuracy review
title_fullStr Automated tests for diagnosing and monitoring cognitive impairment: a diagnostic accuracy review
title_full_unstemmed Automated tests for diagnosing and monitoring cognitive impairment: a diagnostic accuracy review
title_sort Automated tests for diagnosing and monitoring cognitive impairment: a diagnostic accuracy review
author_id_str_mv 59fdd275cfdafa2f251eb5264a31cc7e
author_id_fullname_str_mv 59fdd275cfdafa2f251eb5264a31cc7e_***_Rabeea'h Aslam
author Rabeea'h Aslam
author2 Rabeea'h Aslam
Vickie Bates
Yenal Dundar
Juliet Hounsome
Marty Richardson
Ashma Krishan
Rumona Dickson
Angela Boland
Eleanor Kotas
Joanne Fisher
Sudip Sikdar
Louise Robinson
format Journal article
container_title Health Technology Assessment
container_volume 20
container_issue 77
container_start_page 1
publishDate 2016
institution Swansea University
issn 1366-5278
2046-4924
doi_str_mv 10.3310/hta20770
publisher National Institute for Health Research
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 2016-10-01T04:05:54Z
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score 11.012678

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