• Author: Jean C. Beckham
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High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning

Abstract: We present an ensemble transfer learning method to predict suicide from Veterans Affairs (VA) electronic medical records (EMR). A diverse set of base models was trained …

Posttraumatic stress disorder, trauma, and accelerated biological aging among post-9/11 Veterans

Abstract: People who experience trauma and develop posttraumatic stress disorder (PTSD) are at increased risk for poor health. One mechanism that could explain this risk is …

Genome-wide DNA methylation analysis of cannabis use disorder in a Veteran cohort enriched for posttraumatic stress disorder

Abstract: Cannabis use has been increasing over the past decade, not only in the general US population, but particularly among military veterans. With this rise in use has come a …

Mental health treatment utilization among Gulf War era Veterans with probable alcohol use disorder

Abstract: INTRODUCTION: Alcohol use disorder (AUD) is prevalent among veterans, and excessive alcohol use is associated with significant mental and physical health consequences. …

Sleep apnea among Gulf War Veterans: An examination of VA utilization rates, treatment initiation, and health outcomes

Abstract: OBJECTIVES: Obstructive sleep apnea (OSA) among veterans is frequently underdiagnosed and undertreated. The present study sought to: 1) characterize the prevalence and …

Correlates of risk for disinhibited behaviors in the million Veteran program cohort

Abstract: IMPORTANCE: Many psychiatric outcomes share a common etiologic pathway reflecting behavioral disinhibition, generally referred to as externalizing (EXT) disorders. Recent …

Nonsuicidal self-injury Methods among U.S. veterans: latent class analysis and associations with psychosocial outcomes

Abstract: Nonsuicidal self-injury (NSSI) is a debilitating concern among U.S. veterans, with wall/object-punching commonly endorsed as an NSSI Method. We examined how this behavior …

Deep sequential neural network models improve stratification of suicide attempt risk among US Veterans

Abstract: OBJECTIVE: To apply deep neural networks (DNNs) to longitudinal EHR data in order to predict suicide attempt risk among veterans. Local explainability techniques were …

Love is not all you need: understanding the association between relationship status and relationship dysfunction with self-directed violence in Veterans

Abstract: Research indicates that being married is associated with reduced risk of suicide and self-directed violence (SDV) relative to being divorced. Simultaneously, difficulties …

Mobile health contingency management for smoking cessation among veterans experiencing homelessness: A comparative effectiveness trial

Abstract: Tobacco cessation is reduced in U.S. military veterans experiencing homelessness. Mobile contingency management (mCM) is a promising treatment for tobacco use among …

The association of military sexual assault and nonsuicidal self-injury in U.S. Gulf War-I era Veterans

Abstract: Military sexual assault (MSA) is a prevalent issue among military personnel that has been linked to adverse mental and physical health outcomes, including posttraumatic …

Nonsuicidal self-injury among Veterans is associated with psychosocial impairment, suicidal thoughts and behaviors, and underutilization of mental health services

Abstract: Nonsuicidal self-injury (NSSI) is a robust predictor of suicide attempts. However, understanding of NSSI and associated treatment utilization among Veterans is limited. …