• Author: Chris J. Kennedy
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Joint models targeting U.S. Army soldiers at high-risk of post-separation unemployment, homelessness, and suicide-related behaviors

Abstract: Transitioning service members (TSMs) leaving military service have high risks of unemployment, homelessness, nonfatal suicide attempt (SA), and suicide death. Data from …

Predicting firearm suicide among US Army Veterans transitioning from active service

Abstract: US veterans are significantly more likely than civilians to die by suicide. Machine-learning models have been developed to target high-risk transitioning service members …

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 …

Improving explainability of post-separation suicide attempt prediction models for transitioning service members: Insights from the army study to assess risk and resilience in service members - 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 …

Predicting suicide attempts among US Army soldiers using information available at the time of periodic health assessments

Abstract: The value of population screening for suicide risk remains unclear. The US Army's annual medical examination, the Periodic Health Assessment (PHA), screens for …

Design of a multicenter randomized controlled trial of a post-discharge suicide prevention intervention for high-risk psychiatric inpatients: The Veterans Coordinated Community Care Study

Abstract: Background: The period after psychiatric hospital discharge is one of elevated risk for suicide-related behaviors (SRBs). Post-discharge clinical outreach, although …

Predicting suicides among US Army soldiers after leaving active service

Abstract: Importance: The suicide rate of military servicemembers increases sharply after returning to civilian life. Identifying high-risk servicemembers before they leave service …

Developing an individualized treatment rule for Veterans with major depressive disorder using electronic health records

Abstract: Efforts to develop an individualized treatment rule (ITR) to optimize major depressive disorder (MDD) treatment with antidepressant medication (ADM), psychotherapy, or …

Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia

Abstract: STUDY OBJECTIVES: The standard of care for military personnel with insomnia is cognitive behavioral therapy for insomnia (CBT-I). However, only a minority seeking …

Predicting homelessness among transitioning U.S. Army soldiers

Abstract: INTRODUCTION: This study develops a practical method to triage Army transitioning service members (TSMs) at highest risk of homelessness to target a preventive …

Development of a model to predict combined antidepressant medication and psychotherapy treatment response for depression among veterans

Abstract: Although research shows that more depressed patients respond to combined antidepressants (ADM) and psychotherapy than either alone, many patients do not respond even to …

Development of a model to predict antidepressant treatment response for depression among Veterans

Abstract: Background: Only a limited number of patients with major depressive disorder (MDD) respond to a first course of antidepressant medication (ADM). We investigated the …