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一个基于树的可解释的人工智能模型用于早期检测Covid-19使用生理数据

Manar Abu Talib1, Yaman Afadar2, Qassim Nasir2

  • 1Department of Computer Science, College of Computing and Informatics, University of Sharjah, P.O. Box 27272, Sharjah, UAE. mtalib@sharjah.ac.ae.

BMC medical informatics and decision making
|June 24, 2024
PubMed
概括

可穿戴设备可以在症状出现之前预测COVID-19. 机器学习模型分析了心率和步骤数据,在早期发现疾病方面达到85%的准确性.

关键词:
增强的提升 提高的提升分类 分类 分类 分类.深度神经网络是一个神经网络.可以解释性 解释性生理学数据 生理学数据在XAI,XAI就是XAI.

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