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