Using Neural Networks with Routine Health Records to Identify Suicide Risk: Feasibility Study
Using Neural Networks with Routine Health Records to Identify Suicide Risk: Feasibility Study
Marcos DelPozo-Banos
1
, PhD
;
Ann John
1
, Prof, FFPH
;
Nicolai Petkov
2
, Prof Dr
;
Damon Mark Berridge
1
, Prof, PhD
;
Kate Southern
3
, MPharm, PgCert
;
Keith LLoyd
1
, Prof, FRCPsych
;
Caroline Jones
4
, LLB, PhD
;
Sarah Spencer
5
, FRCEM, Dr
;
Carlos Manuel Travieso
6
, Prof, PhD
1
Swansea University
,
Swansea University Medical School
,
Swansea
,
GB
2
Division of Intelligent Systems, Department of Computer Science
,
Bernoulli Institute of Mathematics, Computer Science and Artificial Intelligence, Faculty of Science and Engineering
,
University of Groningen
,
Groningen
,
NL
3
Cardiff Adult Self Injury Project
,
Cardiff
,
GB
4
Hillary Rodham Clinton School of Law
,
Swansea University
,
Swansea
,
GB
5
Princess of Wales Hospital, Bridgend, ABMU Health Board
,
Swansea
,
GB
6
Signals and Communications Department, IDeTIC
,
University of Las Palmas de Gran Canaria
,
Las Palmas de Gran Canaria
,
ES
Corresponding Author:
-
Marcos DelPozo-Banos, PhD
-
Swansea University
-
Swansea University Medical School
-
Institute of Life Science 2, 3rd floor
-
Swansa University Singleton Park campus
-
Swansea
-
GB
-
Phone:
44 1792604094
-
Email: M.DelPozoBanos@swansea.ac.uk