Machine learning techniques for arrhythmic risk stratification: a review of the literature

Machine learning techniques for arrhythmic risk stratification: a review of the literature

Abstract Ventricular arrhythmias (VAs) and sudden cardiac death (SCD) are significant adverse events that affect the morbidity and mortality of both the general population and patients with predisposing cardiovascular risk factors. Currently, conventional disease-specific scores are u...

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Bibliographic Details
Main Authors: Chung, Cheuk T., Bazoukis, George, Lee, Sharen, Liu, Ying, Liu, Tong, Letsas, Konstantinos P., Armoundas, Antonis A., Tse, Gary
Other Authors: Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Format: Article
Language:English
Published: BioMed Central 2022
Online Access:https://hdl.handle.net/1721.1/141638

Internet

https://hdl.handle.net/1721.1/141638

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