An adaptive threshold-based semi-supervised learning method for cardiovascular disease detection

Deep cardiovascular disease (CVD) detection usually achieves good performance with large-scale labeled electrocardiograms (ECGs), but manual labeling of ECGs is tedious. Semi-supervised learning (SSL) aims to improve model performance through unlabeled data. In this study, an adaptive threshold-base...

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Veröffentlicht in:	Information sciences Jg. 677; S. 120881
Hauptverfasser:	Shi, Jiguang, Li, Zhoutong, Liu, Wenhan, Zhang, Huaicheng, Luo, Deyu, Ge, Yue, Chang, Sheng, Wang, Hao, He, Jin, Huang, Qijun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.08.2024
Schlagworte:	Adaptive threshold Cardiovascular disease detection Electrocardiogram (ECG) Semi-supervised learning (SSL) Cardiovascular disease detection Semi-supervised learning (SSL) Adaptive threshold Electrocardiogram (ECG)
ISSN:	0020-0255
Online-Zugang:	Volltext
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