IoT and big data analysis based prevention and intervention network system for breast cancer susceptible people

Y. Qin, Yueyi Liu, B. Yang, Juan Luo, Yan Zhang, Yihan Liao, Zihan Wang
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Abstract

The medical intervention after a disaster event is the focus of government and citizen's attention in the public health and clinical medicine industries. For breast cancer, which has a high incidence in Russia and Belarus, the author combines the IoT management system and big data analysis to build a model of the framework and a preventive medicine system for a framework analysis and outlook.
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基于物联网和大数据分析的乳腺癌易感人群预防干预网络系统
灾后医疗干预是公共卫生和临床医学领域政府和公民关注的焦点。针对俄罗斯和白俄罗斯发病率较高的乳腺癌,笔者结合物联网管理系统和大数据分析,构建框架模型和预防医学系统,进行框架分析和展望。
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