Predicting Homelessness Among U.S. Army Soldiers No Longer on Active Duty.

ABSTRACT:

Introduction

The ability to predict and prevent homelessness has been an elusive goal. The purpose of this study was to develop a prediction model that identified U.S. Army soldiers at high risk of becoming homeless after transitioning to civilian life based on information available before the time of this transition.

Methods

The prospective cohort study consisted of observations from 16,589 soldiers who were separated or deactivated from service and who had previously participated in 1 of 3 baseline surveys of the Army Study to Assess Risk and Resilience in Servicemembers in 2011-2014. A machine learning model was developed in a 70% training sample and evaluated in the remaining 30% test sample to predict self-reported homelessness in 1 of 2 Longitudinal Study surveys admin

SUBMITTER: Koh KA 

PROVIDER: S-EPMC9219110 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature