Inteligencia artificial para predecir recurrencia en pacientes con enfermedad tromboembólica venosa: hacia una nueva era-Reference-Cited by-同舟云学术

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Inteligencia artificial para predecir recurrencia en pacientes con enfermedad tromboembólica venosa: hacia una nueva era

Published:2023-08 Issue:7 Volume:223 Page:456-459
ISSN:0014-2565
Container-title:Revista Clínica Española
language:es
Short-container-title:Revista Clínica Española

Author:

Franco-Moreno A.^ORCID,Muñoz-Rivas N.,Ruiz-Giardín J.M.,de Ancos-Aracil C.

Publisher

Elsevier BV

Subject

General Medicine

Reference15 articles.

1. Risk assessment of recurrence in patients with unprovoked deep vein thrombosis or pulmonary embolism: The Vienna prediction model;Eichinger;Circulation,2010

2. Predicting disease recurrence in patients with previous unprovoked venous thromboembolism: A proposed prediction score (DASH);Tosetto;J Thromb Haemost,2012

3. Identifying unprovoked thromboembolism patients at low risk for recurrence who can discontinue anticoagulant therapy;Rodger;CMAJ,2008

4. A risk score for prediction of recurrence in patients with unprovoked venous thromboembolism (DAMOVES);Franco Moreno;Eur J Intern Med,2016

5. Risk of recurrence after a first unprovoked venous thromboembolism: External validation of the Vienna Prediction Model with pooled individual patient data;Marcucci;J Thromb Haemost,2015

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Use of artificial intelligence and radiomics for risk stratification in patients with pulmonary embolism: New tools for an old problem;European Journal of Clinical Investigation;2024-01-24

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