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预测性机器学习算法用于COPD恶化,使用带有集成传感器的数字吸入器

Laurie D Snyder1, Michael DePietro2, Michael Reich3

  • 1Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA laurie.snyder@duke.edu.

BMJ open respiratory research
|May 12, 2025
PubMed
概括

使用数字吸入器数据的机器学习模型可以预测慢性阻塞性肺病 (COPD) 患者即将出现的恶化. 这项技术有助于早期检测和主动管理COPD爆发.

关键词:
慢性慢性肺炎恶化 恶化

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