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1 Ergebnisse
1
Revolutionizing Arrhythmia Classification: Unleashing the P..:
, In:
2024 Sixth International Conference on Computational Intelligence and Communication Technologies (CCICT)
,
Arpan
;
Singh, Madan
;
Garg, Puneet
.. - p. 516-522 , 2024
Link:
https://doi.org/10.1109/CCICT62777.2024.00086
RT T1 <cTitle>2024 Sixth International Conference on Computational Intelligence and Communication Technologies (CCICT)</cTitle>: T1 <Title>Revolutionizing Arrhythmia Classification: Unleashing the Power of Machine Learning and Data Amplification for Precision Healthcare</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10596577&Exemplar=1&LAN=DE A1 Arpan A1 Singh, Madan A1 Garg, Puneet A1 Srivastava, Shilpa A1 Saggu, Amrit Kaur YR 2024 K1 Support vector machines K1 Analytical models K1 Accuracy K1 Arrhythmia K1 Computational modeling K1 Refining K1 Medical services K1 Arrhythmia Classification K1 Machine Learning Models K1 Electrocardiogram (ECG) Signals K1 Principal Component Analysis (PCA) K1 Random Oversampling K1 Healthcare Analytics K1 Diagnostic Accuracy SP 516 OP 522 LK http://dx.doi.org/https://doi.org/10.1109/CCICT62777.2024.00086 DO https://doi.org/10.1109/CCICT62777.2024.00086 SF ELIB - SuUB Bremen
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