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Updated: Jun 2, 2025

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可解释的机器学习模型用于COPD呼吸易度估计

Thomas T Kok1, John Morales2, Dirk Deschrijver3

  • 1IDLab, Ghent University-Imec, Technologiepark-Zwijnaarde 126, Zwijnaarde, Belgium. thomas.kok@ugent.be.

Medical & biological engineering & computing
|January 14, 2025
PubMed
概括

这项研究提出了一种基于可穿戴设备的新方法,用于监测慢性阻塞性肺病 (COPD) 患者的呼吸变化. 这种方法使用加速和音频信号来准确跟踪呼吸缓解,改善远程患者护理.

关键词:
慢性阻塞性肺病 (COPD) 是一种慢性阻塞性肺病.可以解释性 解释性机器学习是机器学习.呼吸系统监测 呼吸系统监测时间序列分类时间序列分类

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