Assessment of a Machine Learning Model Applied to Harmonized Electronic Health Record Data for the Prediction of Incident Atrial Fibrillation

IMPORTANCE: Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, and its early detection could lead to significant improvements in outcomes through the appropriate prescription of anticoagulation medication. Although a variety of methods exist for screening for AF, a targeted ap...

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Detalles Bibliográficos
Autores principales: Tiwari, Premanand, Colborn, Kathryn L., Smith, Derek E., Xing, Fuyong, Ghosh, Debashis, Rosenberg, Michael A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2020
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6991266/
https://www.ncbi.nlm.nih.gov/pubmed/31951272
http://dx.doi.org/10.1001/jamanetworkopen.2019.19396

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6991266/
https://www.ncbi.nlm.nih.gov/pubmed/31951272
http://dx.doi.org/10.1001/jamanetworkopen.2019.19396

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