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Hypokalaemia and outcomes in older patients hospitalized for heart failure
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Decoding substance use disorder severity from clinical notes using a large language model
Published 2025-02-01Get full text
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Pharmacokinetics, biological effects, and distribution of (1→3)-β-D-glucan in blood and organs in rabbits
Published 1997-01-01Get full text
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Th17 Cell Response in SOD1G93A Mice following Motor Nerve Injury
Published 2016-01-01“…An increased risk of ALS has been reported for veterans, varsity athletes, and professional football players. …”
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The Role of Peroxisome Proliferator-Activated Receptors in Pulmonary Vascular Disease
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Intertoe Squamous Cell Carcinoma Developed in a Patient with Rheumatoid Arthritis under Etanercept Therapy
Published 2015-01-01Get full text
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A Retrospective Review of Thiazolidinediones with Development of a Troglitazone Conversion Protocol
Published 2003-01-01“…The objective of this paper was (1) to assess compliance with the National Veterans Affairs Guidelines for the use of troglitazone and rosiglitazone and (2) to develop and implement a conversion protocol that allows effective management of patients receiving troglitazone. …”
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Basis for the Age-related Decline in Intestinal Mucosal Immunity
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VA physicians intent to leave and correlations to drivers of burnout: a cross-sectional study
Published 2025-01-01“…The sample included 16,363 respondents from the Veterans Health Administration (VA). A multinomial model was run to compare physicians indicating turnover intent because they were: a.) changing internal jobs; b.) leaving the organization for another job; or c.) retiring, against physicians indicating they had no plans to turnover. …”
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FEATURES OF INTERPRETATION OF THE RESULTS OF HOLTER MONITORING IN THE AGE CATEGORY OF THE POPULATION
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A Deep Learning Approach to Classify Fabry Cardiomyopathy from Hypertrophic Cardiomyopathy Using Cine Imaging on Cardiac Magnetic Resonance
Published 2024-01-01“…The model achieved impressive performance, with an F1-score of 0.846, an accuracy of 0.909, and an AUC of 0.914 when tested on the Taipei Veterans General Hospital (TVGH) dataset. Additionally, a single-blinding study and external testing using data from the Taichung Veterans General Hospital (TCVGH) demonstrated the reliability and effectiveness of the model, achieving an F1-score of 0.727, an accuracy of 0.806, and an AUC of 0.918, demonstrating the model’s reliability and usefulness. …”
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