Machine learning to predict major bleeding during anticoagulation for venous thromboembolism: possibilities and limitations
Sign Up to like & getrecommendations! Published in 2023 at "British Journal of Haematology"
DOI: 10.1111/bjh.18737
Abstract: Predictive tools for major bleeding (MB) using machine learning (ML) might be advantageous over traditional methods. We used data from the Registro Informatizado de Enfermedad TromboEmbólica (RIETE) to develop ML algorithms to identify patients with… read more here.
Keywords: major bleeding; validation; vte bleed; machine learning ... See more keywords
External validation of the VTE-BLEED score for predicting major bleeding in stable anticoagulated patients with venous thromboembolism.
Sign Up to like & getrecommendations! Published in 2017 at "Thrombosis and haemostasis"
DOI: 10.1160/th16-10-0810
Abstract: One of the main determinants of establishing the optimal treatment duration of patients with venous thromboembolism (VTE) is the risk of major bleeding during long-term anticoagulant therapy. The 6-variable VTE-BLEED score was recently developed to… read more here.
Keywords: risk; patients venous; major bleeding; study ... See more keywords