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A machine learning approach to identification of...
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