信息资源管理学报 ›› 2021, Vol. 11 ›› Issue (4): 90-99.doi: 10.13365/j.jirm.2021.04.090

• 研究论文 • 上一篇    下一篇

基于区块链的传染病预警系统:融合复杂网络的风险度量

颜嘉麒1 宋金倍1 达婧玮1 王忠民2   

  1. 1.南京大学信息管理学院,南京,210023; 
    2.江苏省人民医院(南京医科大学第一附属医院) 南京,210029
  • 出版日期:2021-07-26 发布日期:2021-08-23
  • 作者简介:颜嘉麒(通讯作者),副教授,硕士生导师,研究方向为区块链与分布式账本技术、数据分析,Email: jiaqiyan@nju.edu.cn;宋金倍,硕士研究生,研究方向为区块链应用;达婧玮,硕士研究生,研究方向为医疗健康数据分析;王忠民,博士,研究方向为卫生医学信息学。
  • 基金资助:
    本文系国家自然科学基金青年科学基金项目“供应链质量管理中基于区块链的智能系统模型研究”(71701091)、教育部人文社会科学青年基金项目“区块链虚拟组织信息资源的知识表示方法研究”(17YJC870020)的研究成果之一。

A Blockchain-Based Early Warning System for Infectious Diseases: Risk Measurement Combined with Complex Network

Yan Jiaqi1 Song Jinbei1 Da Jingwei1 Wang Zhongmin2   

  1. 1.School of Information Management, Nanjing University, Nanjing, 210023; 
    2.Jiangsu Province Hospital (The First Affiliated Hospital of Nanjing Medical University), Nanjing, 210029
  • Online:2021-07-26 Published:2021-08-23

摘要: 2020年新冠肺炎疫情的爆发警示了建立有效的新发重大传染病预警机制的重要性。我国现有的传染病预警体系中,新发传染病预警与上报难以兼顾及时性和确定性。本文基于医院数据,探析病例、医疗资源、病理特征及其联系,提出基于复杂网络建模的传染病风险度量算法,并融合风险度量算法构建基于区块链的传染病风险预警与数据共享系统。该系统通过区块链技术实现数据的安全存储与共享,通过联邦学习进行分布式全局模型训练,结合智能合约和医生经验实现及时准确的传染病风险预警,各节点对预警达成分布式共识后进行自动上报,改进了传染病风险预警和上报流程。

关键词: 传染病, 新冠肺炎, 疫情预警, 复杂网络, 区块链, 数据共享

Abstract: The outbreak of COVID-19 warned the importance of building effective early warning mechanisms for new major infectious diseases. In the existing early warning system of infectious diseases in China, it is difficult to balance the timeliness and certainty when reporting infectious diseases. Based on the hospital data, this paper analyzes the cases, medical resources, pathological features and their relationship, proposes an infectious disease risk measurement algorithm based on complex network modeling, and constructs an infectious disease risk early warning and data sharing system based on blockchain technology. The proposed system realizes the safe storage and sharing of data through the blockchain technology, conducts distributed global model training through federal learning, and combines smart contracts and doctor's experience to realize timely and accurate early warning of infectious disease risk. The nodes in blockchain can automatically report the early warning after reaching the distributed consensus, further improving the early warning and reporting process.

Key words: Infectious diseases, COVID-19, Epidemic warning, Complex network, Blockchain, Data sharing

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