CLC number: TP391.5
On-line Access: 2023-01-21
Received: 2021-11-03
Revision Accepted: 2022-07-21
Crosschecked: 2023-01-21
Cited: 0
Clicked: 1448
Jie SUN. Domain knowledge enhanced deep learning for electrocardiogram arrhythmia classification[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.2100519 @article{title="Domain knowledge enhanced deep learning for electrocardiogram arrhythmia classification", %0 Journal Article TY - JOUR
融入领域知识的深度学习在心律失常分类中的应用宁波工程学院网络空间安全学院,中国宁波市,315211 摘要:深度学习为心律失常的自动分类提供了一种有效的方法,但在临床决策中,纯数据驱动的方法以黑盒形式运行,可能会导致不良预测结果。将领域知识与深度学习相结合是一种很有前景的解决方案。本文开发了一个灵活且可扩展的框架,用于集成领域知识与深度神经网络。该模型由深度神经网络和知识推理模块组成,深度神经网络用于捕捉输入数据的统计模式,知识模块用于确保与领域知识的一致性。这两个组成部分经过交互训练,以实现两种机制的最佳效果。实验表明,领域知识可以较好地改善神经网络的预测结果,从而提高预测精度。 关键词组: Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article
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