A Clinical-Genetic Risk Score for Predicting Cancer-Associated Venous Thromboembolism: A Development and Validation Study Involving Two Independent Prospective Cohorts Using retrospective data from ...

Nomograms have a strong reputation as reliable predictive models that simplify statistical prediction models and guide personalized treatment to formulate preventive measures for various diseases.

Several factors can increase a person’s risk of deep vein thrombosis (DVT) development. Examples include injury to the veins, hormonal changes, reduced blood flow, certain health conditions, and more.