Published on in Vol 5 , No 2 (2018) :Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10144, first published .
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

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