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iCovidCare:用于COVID-19的智能健康监测框架,使用边缘网络中的整体随机森林

Mainak Adhikari1, Ambigavathi Munusamy2

  • 1Mobile & Cloud Lab, Institute of Computer Science, University of Tartu, Estonia.

Internet of things (Amsterdam, Netherlands)
|April 15, 2024
PubMed
概括

该iCovidCare模型使用边缘计算和合奏随机森林来预测COVID-19健康状况. 这种智能框架实现了95.13%的准确性,改善了立即的患者诊断和处理各种医疗传感器数据.

关键词:
在 COVID-19 疫情中,疾病预测 疾病预测边缘网络是边缘网络.功能选择 功能选择卫生监测健康监测在eRF分类模型中,eRF的分类模型.

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