@article{ref1,
title="Integrating predictive modeling into mental health care: an example in suicide prevention",
journal="Psychiatric services",
year="2019",
author="Reger, Greg M. and McClure, Mary Lou and Ruskin, David and Carter, Sarah P. and Reger, Mark A.",
volume="70",
number="1",
pages="71-74",
abstract="Recent advances in statistical methods and computing power have improved the ability to predict risks associated with mental illness with more efficiency and accuracy. However, integrating statistical prediction into a clinical setting poses new challenges that need creative solutions. A case example explores the challenges and innovations that emerged at a Department of Veterans Affairs hospital while implementing REACH VET (Recovery Engagement and Coordination for Health-Veterans Enhanced Treatment), a suicide prevention program that is based on a predictive model that identifies veterans at statistical risk for suicide.<p /> <p>Language: en</p>",
language="en",
issn="1075-2730",
doi="10.1176/appi.ps.201800242",
url="http://dx.doi.org/10.1176/appi.ps.201800242"
}