Detection of Cardiac Arrhythmia Using Machine Learning Approaches-Reference-Cited by-同舟云学术

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Detection of Cardiac Arrhythmia Using Machine Learning Approaches

Published:2022-07-01 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Region 10 Symposium (TENSYMP)
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Author:

Chittoria Jaidev¹,Sowmya Kamath S¹,Mayya Veena¹

Affiliation:

1. National Institute of Technology,Healthcare Analytics and Language Engineering (HALE) Lab,Dept. of Information Technology,Karnataka,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9864330/9864331/09864533.pdf?arnumber=9864533

Reference33 articles.

1. Wolpert, Stacked generalization;david;Neural Networks,1992

2. randomForest: Breiman's random forest for classification and regression;breiman;R Package,2003

3. Bayesian ANN classifier for ECG arrhythmia diagnostic system: A comparison study;gao;Proceedings of the International Joint Conference on Neural Net-works IJCNN 2005,2005

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2. Attention-assisted hybrid CNN-BILSTM-BiGRU model with SMOTE–Tomek method to detect cardiac arrhythmia based on 12-lead electrocardiogram signals;DIGITAL HEALTH;2024-01

3. Real-Time Web Application to Classify Diabetic Foot Ulcer;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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