Machine Learning Methodologies for Prediction of Rhythm-Control Strategy in Patients Diagnosed With Atrial Fibrillation: Observational, Retrospective, Case-Control Study

BACKGROUND: The identification of an appropriate rhythm management strategy for patients diagnosed with atrial fibrillation (AF) remains a major challenge for providers. Although clinical trials have identified subgroups of patients in whom a rate- or rhythm-control strategy might be indicated to im...

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Detalles Bibliográficos
Autores principales: Kim, Rachel S, Simon, Steven, Powers, Brett, Sandhu, Amneet, Sanchez, Jose, Borne, Ryan T, Tumolo, Alexis, Zipse, Matthew, West, J Jason, Aleong, Ryan, Tzou, Wendy, Rosenberg, Michael A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8691402/
https://www.ncbi.nlm.nih.gov/pubmed/34874889
http://dx.doi.org/10.2196/29225

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8691402/
https://www.ncbi.nlm.nih.gov/pubmed/34874889
http://dx.doi.org/10.2196/29225

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