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RR Interval-based Atrial Fibrillation Detection using Traditional and Ensemble Machine Learning Algorithms

Atrial fibrillation (AF) is a life threatening disease and can cause stroke, heart failure, and sometimes death. To reduce the rate of mortality and morbidity due to increased prevalence of AF, early detection of the same becomes a prior concern. Traditional machine learning (TML) algorithms and ens...

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Detalles Bibliográficos
Autores principales: Rao, S. K. Shrikanth, Martis, Roshan Joy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445672/
https://www.ncbi.nlm.nih.gov/pubmed/37622040
http://dx.doi.org/10.4103/jmss.jmss_4_22