Development, validation, and proof-of-concept implementation of a two-year risk prediction model for undiagnosed atrial fibrillation using common electronic health data (UNAFIED)

BACKGROUND: Many patients with atrial fibrillation (AF) remain undiagnosed despite availability of interventions to reduce stroke risk. Predictive models to date are limited by data requirements and theoretical usage. We aimed to develop a model for predicting the 2-year probability of AF diagnosis...

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Detalles Bibliográficos
Autores principales: Grout, Randall W., Hui, Siu L., Imler, Timothy D., El-Azab, Sarah, Baker, Jarod, Sands, George H., Ateya, Mohammad, Pike, Francis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019173/
https://www.ncbi.nlm.nih.gov/pubmed/33812369
http://dx.doi.org/10.1186/s12911-021-01482-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019173/
https://www.ncbi.nlm.nih.gov/pubmed/33812369
http://dx.doi.org/10.1186/s12911-021-01482-1

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