Using Artificial Intelligence With Natural Language Processing to Combine Electronic Health Record’s Structured and Free Text Data to Identify Nonvalvular Atrial Fibrillation to Decrease Strokes and Death: Evaluation and Case-Control Study

BACKGROUND: Nonvalvular atrial fibrillation (NVAF) affects almost 6 million Americans and is a major contributor to stroke but is significantly undiagnosed and undertreated despite explicit guidelines for oral anticoagulation. OBJECTIVE: The aim of this study is to investigate whether the use of sem...

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Detalles Bibliográficos
Autores principales: Elkin, Peter L, Mullin, Sarah, Mardekian, Jack, Crowner, Christopher, Sakilay, Sylvester, Sinha, Shyamashree, Brady, Gary, Wright, Marcia, Nolen, Kimberly, Trainer, JoAnn, Koppel, Ross, Schlegel, Daniel, Kaushik, Sashank, Zhao, Jane, Song, Buer, Anand, Edwin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663460/
https://www.ncbi.nlm.nih.gov/pubmed/34751659
http://dx.doi.org/10.2196/28946

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663460/
https://www.ncbi.nlm.nih.gov/pubmed/34751659
http://dx.doi.org/10.2196/28946

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