Enhancing deep vein thrombosis prediction in patients with coronavirus disease 2019 using improved machine learning model
Description
CONCLUSIONS: The bSES-AC-RUN-FKNN emerges as a robust and efficient predictive tool, significantly enhancing the accuracy of DVT prediction. This model can be used to manage the risk of thrombosis in the care of COVID-19 patients. Nursing staff can
