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 …
and economic burden. Several VTE-specific Clinical Prediction Models (CPMs) have been …
A deep-learning approach to predict bleeding risk over time in patients on extended anticoagulation therapy
SS Fard, TJ Perkins, PS Wells - Journal of Thrombosis and Haemostasis, 2024 - Elsevier
Background Thus far, all the clinical models developed to predict major bleeding in patients
on extended anticoagulation therapy use the baseline predictors to stratify patients into …
on extended anticoagulation therapy use the baseline predictors to stratify patients into …
Machine learning analysis of bleeding status in venous thromboembolism patients
SS Fard, TJ Perkins, PS Wells - Research and Practice in Thrombosis and …, 2024 - Elsevier
Background Anticoagulation therapy is the mainstay of therapy for patients with venous
thromboembolism (VTE). However, continuing or stopping anticoagulants after the first 3 to 6 …
thromboembolism (VTE). However, continuing or stopping anticoagulants after the first 3 to 6 …
La inteligencia artificial como herramienta para la detección de patrones de inmunodeficiencia en el lupus eritematoso sistémico
I Usategui Martín - 2024 - uvadoc.uva.es
Existe un vínculo entre las enfermedades autoinmunes como el LES y la inmunodeficiencia
primaria, con bases genéticas comunes y manifestaciones clínicas compartidas. Asimismo …
primaria, con bases genéticas comunes y manifestaciones clínicas compartidas. Asimismo …