Hygeia: A multilabel deep learning-based classification method for imbalanced electrocardiogram data-Reference-Cited by-同舟云学术

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Hygeia: A multilabel deep learning-based classification method for imbalanced electrocardiogram data

Published:2022 Issue: Volume: Page:1-1
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Xu Xiaolong¹,Xu Haoyan²,Wang Liying²,Zhang Yuanyuan³,Xiao Fu¹

Affiliation:

1. School of Computer Science, Nanjing University of Posts and Telecommunications, 12577 Nanjing, Jiangsu, China

2. Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, Nanjing University of Posts and Telecommunications, 12577 Nanjing, Jiangsu, China

3. School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, 70571 Hangzhou, Zhejiang, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/4359833/09779988.pdf?arnumber=9779988

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1. Paper-Recorded ECG Digitization Method with Automatic Reference Voltage Selection for Telemonitoring and Diagnosis;Diagnostics;2024-08-29

2. Design of a Model Using Machine Learning and Deep Dyna Q Learning Integration for Improved Disease Prediction in Remote Healthcare;Journal of Machine and Computing;2024-07-05

3. A Systematic Survey of Data Augmentation of ECG Signals for AI Applications;Sensors;2023-05-31

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