Improving explainability of post-separation suicide attempt prediction models for transitioning service members: insights from the Army Study to Assess Risk and Resilience in Servicemembers — Longitudinal Study

Improving explainability of post-separation suicide attempt prediction models for transitioning service members: insights from the Army Study to Assess Risk and Resilience in Servicemembers — Longitudinal Study

Abstract Risk of U.S. Army soldier suicide-related behaviors increases substantially after separation from service. As universal prevention programs have been unable to resolve this problem, a previously reported machine learning model was developed using pre-separation predictors to target high-ris...

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Main Authors: Emily R. Edwards, Joseph C. Geraci, Sarah M. Gildea, Claire Houtsma, Jacob A. Holdcraft, Chris J. Kennedy, Andrew J. King, Alex Luedtke, Brian P. Marx, James A. Naifeh, Nancy A. Sampson, Murray B. Stein, Robert J. Ursano, Ronald C. Kessler
Format: Article
Language:English
Published: Nature Publishing Group 2025-01-01
Series:Translational Psychiatry
Online Access:https://doi.org/10.1038/s41398-025-03248-z
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https://doi.org/10.1038/s41398-025-03248-z

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