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Using Neural Networks with Routine Health Records to Identify Suicide Risk: Feasibility Study / Marcos DelPozo-Banos; Ann John; Nicolai Petkov; Damon Mark Berridge; Kate Southern; Keith Lloyd; Caroline Jones; Sarah Spencer; Carlos Manuel Travieso

JMIR Mental Health, Volume: 5, Issue: 2, Start page: e10144

Swansea University Authors: Ann, John, Keith, Lloyd, Caroline, Jones

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DOI (Published version): 10.2196/10144

Published in: JMIR Mental Health
ISSN: 2368-7959
Published: 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa39946
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first_indexed 2018-05-03T19:39:19Z
last_indexed 2018-07-25T13:32:18Z
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spelling 2018-07-25T09:31:12.5522318 v2 39946 2018-05-03 Using Neural Networks with Routine Health Records to Identify Suicide Risk: Feasibility Study ed8a9c37bd7b7235b762d941ef18ee55 0000-0002-5657-6995 Ann John Ann John true false a13aaa0df9045c205e82ed3b95d18c10 0000-0002-1440-4124 Keith Lloyd Keith Lloyd true false 8201817d55a832f7c23f406402904a2b 0000-0001-7632-9468 Caroline Jones Caroline Jones true false 2018-05-03 PMSC Journal Article JMIR Mental Health 5 2 e10144 2368-7959 22 6 2018 2018-06-22 10.2196/10144 COLLEGE NANME Medicine COLLEGE CODE PMSC Swansea University 2018-07-25T09:31:12.5522318 2018-05-03T15:48:54.8554365 Swansea University Medical School Swansea University Medical School Marcos DelPozo-Banos 1 Ann John 0000-0002-5657-6995 2 Nicolai Petkov 3 Damon Mark Berridge 4 Kate Southern 5 Keith Lloyd 0000-0002-1440-4124 6 Caroline Jones 0000-0001-7632-9468 7 Sarah Spencer 8 Carlos Manuel Travieso 9 0039946-01062018124817.pdf 39946.pdf 2018-06-01T12:48:17.4500000 Output 153066 application/pdf Accepted Manuscript true 2018-06-01T00:00:00.0000000 This is an open-access article distributed under the terms of the Creative Commons Attribution License. true eng
title Using Neural Networks with Routine Health Records to Identify Suicide Risk: Feasibility Study
spellingShingle Using Neural Networks with Routine Health Records to Identify Suicide Risk: Feasibility Study
Ann, John
Keith, Lloyd
Caroline, Jones
title_short Using Neural Networks with Routine Health Records to Identify Suicide Risk: Feasibility Study
title_full Using Neural Networks with Routine Health Records to Identify Suicide Risk: Feasibility Study
title_fullStr Using Neural Networks with Routine Health Records to Identify Suicide Risk: Feasibility Study
title_full_unstemmed Using Neural Networks with Routine Health Records to Identify Suicide Risk: Feasibility Study
title_sort Using Neural Networks with Routine Health Records to Identify Suicide Risk: Feasibility Study
author_id_str_mv ed8a9c37bd7b7235b762d941ef18ee55
a13aaa0df9045c205e82ed3b95d18c10
8201817d55a832f7c23f406402904a2b
author_id_fullname_str_mv ed8a9c37bd7b7235b762d941ef18ee55_***_Ann, John
a13aaa0df9045c205e82ed3b95d18c10_***_Keith, Lloyd
8201817d55a832f7c23f406402904a2b_***_Caroline, Jones
author Ann, John
Keith, Lloyd
Caroline, Jones
author2 Marcos DelPozo-Banos
Ann John
Nicolai Petkov
Damon Mark Berridge
Kate Southern
Keith Lloyd
Caroline Jones
Sarah Spencer
Carlos Manuel Travieso
format Journal article
container_title JMIR Mental Health
container_volume 5
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publishDate 2018
institution Swansea University
issn 2368-7959
doi_str_mv 10.2196/10144
college_str Swansea University Medical School
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hierarchy_parent_title Swansea University Medical School
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published_date 2018-06-22T03:52:33Z
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