Risk Factors for Suicidal Behaviour Among Canadian Civilians and Military Personnel: A Recursive Partitioning Approach

Risk Factors for Suicidal Behaviour Among Canadian Civilians and Military Personnel: A Recursive Partitioning Approach

Background: Suicidal behaviour is a major public health problem that has not abated over the past decade. Adopting machine learning algorithms that allow for combining risk factors that may increase the predictive accuracy of models of suicide behaviour is one promising avenue toward effective preve...

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Bibliographic Details
Main Author: Rusu, Corneliu
Other Authors: Colman, Ian
Format: Others
Language:en
Published: Université d'Ottawa / University of Ottawa 2018
Subjects:
Models of suicidal behaviour
Conditional inference random forests
Canadian Community Health Survey - Mental Health
Canadian Armed Forces Mental Health Survey
Random forests
Machine learning
Variable selection
Recursive partitioning
Online Access:http://hdl.handle.net/10393/37371
http://dx.doi.org/10.20381/ruor-21640

Internet

http://hdl.handle.net/10393/37371
http://dx.doi.org/10.20381/ruor-21640

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