This paper is in the following e-collection/theme issue:

Depression and Mood Disorders; Suicide Prevention (1029) Clinical Information and Decision Making (902) New Methods (665) Methods and Feasibility Studies (284) Decision Support for Health Professionals (736) Electronic Health Records (782) Diagnostic Tools in Mental Health (171) Machine Learning (1004) Special Issue on Computing and Mental Health (2018) (32)

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

Authors of this article:

Marcos DelPozo-Banos 1 Author Orcid Image ;   Ann John 1 Author Orcid Image ;   Nicolai Petkov 2 Author Orcid Image ;   Damon Mark Berridge 1 Author Orcid Image ;   Kate Southern 3 Author Orcid Image ;   Keith LLoyd 1 Author Orcid Image ;   Caroline Jones 4 Author Orcid Image ;   Sarah Spencer 5 Author Orcid Image ;   Carlos Manuel Travieso 6 Author Orcid Image
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