Automated risk assessment of newly detected atrial fibrillation poststroke from electronic health record data using machine learning and natural language processing

BACKGROUND: Timely detection of atrial fibrillation (AF) after stroke is highly clinically relevant, aiding decisions on the optimal strategies for secondary prevention of stroke. In the context of limited medical resources, it is crucial to set the right priorities of extended heart rhythm monitori...

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Detalles Bibliográficos
Autores principales: Sung, Sheng-Feng, Sung, Kuan-Lin, Pan, Ru-Chiou, Lee, Pei-Ju, Hu, Ya-Han
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372298/
https://www.ncbi.nlm.nih.gov/pubmed/35966534
http://dx.doi.org/10.3389/fcvm.2022.941237

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372298/
https://www.ncbi.nlm.nih.gov/pubmed/35966534
http://dx.doi.org/10.3389/fcvm.2022.941237

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