Conference
Using Machine Learning Algorithms to Enhance the Management of Suicide Ideation
Abstract
Combat veterans; especially those with mental health conditions are an at risk group for suicidal ideation and behaviour. This study attempts to use machine learning algorithm to predict suicidal ideation (SI) in a treatment seeking veteran population. Questionnaire data from 738 patients consisting of veterans, still serving members of the Canadian Forces (CF) and Royal Canadian Mountain Police (RCMP) were examined to determine the likelihood …
Authors
Colic S; Richardson DJ; Reilly PJ; Hasey MG
Volume
00
Pagination
pp. 4936-4939
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
July 2018
DOI
10.1109/embc.2018.8513200
Name of conference
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Conference proceedings
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
ISSN
1557-170X