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Search Results - venous+thromboembolism

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Prediction of Venous Thromboembolism Utilizing Machine Learning Models - (HJF 477-17)
Background Individuals exposed to physical trauma, including battlefield injuries and major accidents, have an elevated risk of developing venous thromboembolism (VTE). Existing diagnostic approaches can be difficult to apply in acute trauma settings because robust and invasive diagnostic methods may not be feasible in the field or at the bedside....
Published: 7/16/2026   |   Updated: 5/28/2026   |   Inventor(s): Eric Elster, John Oh, Beverly Gaucher, Seth Schobel-McHugh
Keywords(s): Biomarker, Clinical Decision Support Systems, Machine Learning, Predictive Modeling, Trauma, Venous Thromboembolism
Category(s): Diagnostic