Journal article
A machine learning approach to identification of self-harm and suicidal ideation among military and police Veterans
Abstract
LAY SUMMARY Combat Veterans are vulnerable to suicidal thoughts and behaviour. Many who die by suicide deny having suicidal ideation (SI). Typically, researchers try to find variables indicating the presence of SI using traditional statistical approaches. These approaches do not possess the capacity to detect highly complex multivariable interactions. In contrast, machine learning (ML) is designed to detect such patterns and can consequently …
Authors
Colic S; He JC; Richardson JD; St. Cyr K; Reilly JP; Hasey GM
Journal
Journal of Military Veteran and Family Health, Vol. 8, No. 1, pp. 56–67
Publisher
University of Toronto Press
Publication Date
February 1, 2022
DOI
10.3138/jmvfh-2021-0035
ISSN
2368-7924