A novel method of adverse event detection can accurately identify venous thromboembolisms (VTEs) from narrative electronic health record data

Background Venous thromboembolisms (VTEs), which include deep vein thrombosis (DVT) and pulmonary embolism (PE), are associated with significant mortality, morbidity, and cost in hospitalized patients. To evaluate the success of preventive measures, accurate and efficient methods for monitoring VTE...

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Detalles Bibliográficos
Autores principales: Rochefort, Christian M, Verma, Aman D, Eguale, Tewodros, Lee, Todd C, Buckeridge, David L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4433368/
https://www.ncbi.nlm.nih.gov/pubmed/25332356
http://dx.doi.org/10.1136/amiajnl-2014-002768

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4433368/
https://www.ncbi.nlm.nih.gov/pubmed/25332356
http://dx.doi.org/10.1136/amiajnl-2014-002768

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