Mortality among US veterans after emergency visits to Veterans Affairs and other hospitals: retrospective cohort study [PDF]
, 2022 ObjectiveTo measure and compare mortality outcomes between dually eligible veterans transported by ambulance to a Veterans Affairs hospital and those transported to a non-Veterans Affairs hospital.DesignRetrospective cohort study using data from medical ...
Card, David +5 more
core +1 more source
COVID-19 associated mortality and cardiovascular disease outcomes among US women veterans
Scientific Reports, 2021 The burden of COVID-19 has been noted to be disproportionately greater in minority women, a population that is nevertheless still understudied in COVID-19 research.
Shirling Tsai +8 more
doaj +1 more source
Early Prediction of Alzheimers Disease Leveraging Symptom Occurrences from Longitudinal Electronic Health Records of US Military Veterans [PDF]
arXiv, 2023 Early prediction of Alzheimer's disease (AD) is crucial for timely intervention and treatment. This study aims to use machine learning approaches to analyze longitudinal electronic health records (EHRs) of patients with AD and identify signs and symptoms that can predict AD onset earlier.
arxiv
Predictors of homelessness among families and single adults after exit from homelessness prevention and rapid re-housing programs: evidence from the Department of Veterans Affairs Supportive Services for Veteran Families Program [PDF]
, 2015 This article assesses the extent and predictors of homelessness among Veterans (both Veterans in families with children and single adults Veterans) exiting the Supportive Services for Veteran Families (SSVF) program, which is a nationwide ...
Byrne, Thomas H. +4 more
core +2 more sources
Use of Veterans Affairs and Medicaid Services for Dually Enrolled Veterans [PDF]
Health Services Research, 2017 ObjectivesTo examine how dual coverage for nonelderly, low‐income veterans by Veterans Affairs (VA) and Medicaid affects their demand for care.Data SourcesVeterans Affairs utilization data and Medicaid Analytic Extract Files.Study DesignA retrospective, longitudinal study of VA users prior to and following enrollment in Medicaid 2006–2010.Data ...
Ciaran S. Phibbs +7 more
openaire +5 more sources
Estimating healthcare mobility in the Veterans Affairs Healthcare System
BMC Health Services Research, 2016 Background Healthcare mobility, defined as healthcare utilization in more than one distinct healthcare system, may have detrimental effects on outcomes of care.
Karen H. Wang +11 more
doaj +1 more source
Associations Between Natural Language Processing (NLP) Enriched Social Determinants of Health and Suicide Death among US Veterans [PDF]
, 2022 Importance: Social determinants of health (SDOH) are known to be associated with increased risk of suicidal behaviors, but few studies utilized SDOH from unstructured electronic health record (EHR) notes. Objective: To investigate associations between suicide and recent SDOH, identified using structured and unstructured data.
arxiv +1 more source
Snorkel: Rapid Training Data Creation with Weak Supervision [PDF]
Proceedings of the VLDB Endowment, 11(3), 269-282, 2017, 2017 Labeling training data is increasingly the largest bottleneck in deploying machine learning systems. We present Snorkel, a first-of-its-kind system that enables users to train state-of-the-art models without hand labeling any training data. Instead, users write labeling functions that express arbitrary heuristics, which can have unknown accuracies and ...
arxiv +1 more source
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2019 Background Physicians have expressed significant mistrust with public reporting of interventional cardiology outcomes. Similar data are not available on alternative reporting structures, including nonpublic quality improvement programs with internally ...
Justin Morrison +6 more
doaj +1 more source
Natural Language Processing Accurately Categorizes Indications, Findings and Pathology Reports from Multicenter Colonoscopy [PDF]
arXiv, 2021 Colonoscopy is used for colorectal cancer (CRC) screening. Extracting details of the colonoscopy findings from free text in electronic health records (EHRs) can be used to determine patient risk for CRC and colorectal screening strategies. We developed and evaluated the accuracy of a deep learning model framework to extract information for the clinical
arxiv