Abstract: OBJECTIVES: To compare predictive accuracy of 3-step theory of suicide (3ST) factor scores derived from natural language processing of Veterans Health Administration …
Abstract: INTRODUCTION: Traumatic brain injury (TBI) and epilepsy are significant health concerns among the veteran population, but the links between mild TBI and cognitive and …
Abstract: Objective: To develop and evaluate an automated system for identifying healthcare barriers focusing on transportation issues in veterans’ clinical notes using large …
Abstract: Background: Post-traumatic stress disorder (PTSD) significantly impacts US Veterans' well-being by potentially exacerbating health-related social needs (HRSN). This study …
Abstract: Rural Hispanic veterans experience elevated suicide rates when compared to urban counterparts. Group differences remain poorly understood. This study evaluates a …
Abstract: BACKGROUND: Clinical natural language processing (cNLP) techniques are commonly developed and used to extract information from clinical notes to facilitate clinical …
Abstract:Objective: The prevalence of moderate to severe asymptomatic carotid stenosis (i.e., atherosclerotic narrowing of the extracranial carotid arteries) is generally ∼6% and …
Abstract:Excessive daytime sleepiness (EDS) is linked to adverse clinical outcomes. This study evaluated changes in a validated tool to assess EDS, the Epworth Sleepiness Scale …
Abstract: Study objectives: Disparities in access to care and healthcare system inequities result in race-based health care outcome differences. Excessive daytime sleepiness (EDS), …
Abstract: Evictions are a major social and public health concern in the United States. The development of Natural Language Processing (NLP) technologies allows for analysis of …
Abstract: Novel and automated means of opioid use and relapse risk detection are needed. Unstructured electronic medical record data, including written progress notes, can be mined …
Abstract: Background: Contemporary research in peripheral artery disease (PAD) remains limited due to lack of a national registry and low accuracy of diagnosis codes to identify …