[HTML][HTML] A systematic evaluation and meta-analysis of early prediction of post-thrombotic syndrome

T Yu, J Song, LK Yu, W Deng - Frontiers in Cardiovascular Medicine, 2023 - frontiersin.org
Objective Post-thrombotic syndrome (PTS) is the most common long-term complication in
patients with deep venous thrombosis, and the prevention of PTS remains a major challenge …

Machine learning-based predictive models for patients with venous thromboembolism: A Systematic Review

V Danilatou, D Dimopoulos… - Thrombosis and …, 2024 - thieme-connect.com
Background: Venous thromboembolism (VTE) is a chronic disorder with a significant health
and economic burden. Several VTE-specific Clinical Prediction Models (CPMs) have been …

Development and validation of a risk prediction model and prediction tools for post-thrombotic syndrome in patients with lower limb deep vein thrombosis

XX Sun, H Ling, L Zhang, RB Chen, A Zhong… - International Journal of …, 2024 - Elsevier
Purpose Our research aims to compare the predictive performance of decision tree
algorithms (DT) and logistic regression analysis (LR) in constructing models, and develop a …