Developing and optimizing a machine learning predictive model for post-thrombotic syndrome in a longitudinal cohort of patients with proximal deep venous …
Z Wu, Y Li, J Lei, P Qiu, H Liu, X Yang, T Chen… - Journal of Vascular …, 2023 - Elsevier
Background Post-thrombotic syndrome (PTS) is the most common chronic complication of
deep venous thrombosis (DVT). Risk measurement and stratification of PTS are crucial for …
deep venous thrombosis (DVT). Risk measurement and stratification of PTS are crucial for …
[HTML][HTML] A predictive model for postthrombotic syndrome in proximal deep vein thrombosis patients
Background Postthrombotic syndrome (PTS) is the most common long-term complication of
deep vein thrombosis (DVT). Predictive models for PTS after hospitalized DVT patients …
deep vein thrombosis (DVT). Predictive models for PTS after hospitalized DVT patients …
Development and validation of a clinical prediction model for post thrombotic syndrome following anticoagulant therapy for acute deep venous thrombosis
J Zhang, F Ma, J Yao, B Hao, H Xu, X Guo, H Gao… - Thrombosis …, 2022 - Elsevier
Objectives To identify independent prediction factors for post thrombotic syndrome (PTS)
following acute deep vein thrombosis (DVT) and develop a clinical prediction model …
following acute deep vein thrombosis (DVT) and develop a clinical prediction model …
[HTML][HTML] Construction of a Prediction Model for Post-thrombotic Syndrome after Deep Vein Thrombosis Incorporating Novel Inflammatory Response Parameter Scoring
J Huo, Y Xiao, S Liu, H Zhang - Annals of Vascular Surgery, 2024 - Elsevier
Objective To investigate the independent predictive factors for post-thrombotic syndrome
(PTS) and to construct a risk prediction model for PTS by incorporating a novel inflammatory …
(PTS) and to construct a risk prediction model for PTS by incorporating a novel inflammatory …
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 …
patients with deep venous thrombosis, and the prevention of PTS remains a major challenge …
Derivation and validation of a prediction model for risk stratification of post-thrombotic syndrome in elderly patients with a first deep vein thrombosis
M Méan, A Limacher, A Alatri… - Thrombosis and …, 2018 - thieme-connect.com
Background Not all patients carry the same risk of developing a post-thrombotic syndrome
(PTS), we therefore aimed to derive a prediction rule for risk stratification of PTS in patients …
(PTS), we therefore aimed to derive a prediction rule for risk stratification of PTS in patients …
A systematic review and meta-analysis of risk prediction models for post-thrombotic syndrome in patients with deep vein thrombosis
X Guo, H Xu, J Zhang, B Hao, T Yang - Heliyon, 2023 - cell.com
Objective This systematic review and meta-analysis aimed to systematically evaluate the
prediction models for the risk of post-thrombotic syndrome (PTS) in deep vein thrombosis …
prediction models for the risk of post-thrombotic syndrome (PTS) in deep vein thrombosis …
Development and validation of a practical two-step prediction model and clinical risk score for post-thrombotic syndrome
EE Amin, SMJ van Kuijk, MA Joore… - Thrombosis and …, 2018 - thieme-connect.com
Background Post-thrombotic syndrome (PTS) is a common chronic consequence of deep
vein thrombosis that affects the quality of life and is associated with substantial costs. In …
vein thrombosis that affects the quality of life and is associated with substantial costs. In …
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 …
algorithms (DT) and logistic regression analysis (LR) in constructing models, and develop a …
[HTML][HTML] Development of a clinical prediction model for the postthrombotic syndrome in a prospective cohort of patients with proximal deep vein thrombosis
A Rabinovich, T Ducruet, SR Kahn, S Shapiro… - Journal of Thrombosis …, 2018 - Elsevier
Essentials• We developed a prediction model for postthrombotic syndrome (PTS) after deep
vein thrombosis (DVT).• High risk predictors were iliac vein DVT, BMI> 35 and moderate …
vein thrombosis (DVT).• High risk predictors were iliac vein DVT, BMI> 35 and moderate …