Research on Medical Multi-Source Data Fusion Based on Big Data

被引：0
|
作者：
Hu S. [1 ]
机构：
[1] Information Center of Central Hospital of Cangzhou, Hebei Province, Cangzhou
来源：
Recent Advances in Computer Science and Communications | 2022年 / 15卷 / 03期
关键词：
big data; enterprise service bus; message queue; patient prime index; service oriented architecture; System integration platform;
D O I：
10.2174/2666255813666200831181155
中图分类号：
学科分类号：
摘要：
Objectives: The uniform data standard system is built to realize the interconnection between the heterogeneous information systems in hospitals and to solve the problem of data island. Methods: The establishment of the integration platform is started from the aspects such as the establishment of integration platform model, design of platform architecture and data interaction process, promotion of standardization of the data format and prime index construction for patients. Results: The ESB (Enterprise Service Bus) and the SOA (Service Oriented Architecture) are used to achieve the medical multi-source data fusion through the integration platform with two interface methods of MQ (Message Queue) and Web Service. Conclusion: The intelligent decision support system established on the integration platform is used to provide powerful data support to improve data utilization, regulate medical behaviors, advance medical quality and enhance management efficiency. © 2022 Bentham Science Publishers.
引用
收藏
页码：376 / 387
页数：11
相关论文
共 50 条
  • [11] Multi-source Heterogeneous Data Fusion
    Zhang, Lili
    Xie, Yuxiang
    Luan Xidao
    Zhang, Xin
    [J]. 2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND BIG DATA (ICAIBD), 2018, : 47 - 51
  • [12] A framework for multi-source data fusion
    Yager, RR
    [J]. INFORMATION SCIENCES, 2004, 163 (1-3) : 175 - 200
  • [13] Research on Data Fusion of Adaptive Weighted Multi-Source Sensor
    Li, Donghui
    Shen, Cong
    Dai, Xiaopeng
    Zhu, Xinghui
    Luo, Jian
    Li, Xueting
    Chen, Haiwen
    Liang, Zhiyao
    [J]. CMC-COMPUTERS MATERIALS & CONTINUA, 2019, 61 (03): : 1217 - 1231
  • [14] Research on Data Fusion Method of Multi-source Complex System
    Cai, Yuxiang
    [J]. JOURNAL OF WEB ENGINEERING, 2021, 20 (05): : 1553 - 1571
  • [15] Multi-source data fusion for economic data analysis
    Li, Menggang
    Wang, Fang
    Jia, Xiaojun
    Li, Wenrui
    Li, Ting
    Rui, Guangwei
    [J]. NEURAL COMPUTING & APPLICATIONS, 2021, 33 (10): : 4729 - 4739
  • [16] Multi-source data fusion for economic data analysis
    Menggang Li
    Fang Wang
    Xiaojun Jia
    Wenrui Li
    Ting Li
    Guangwei Rui
    [J]. Neural Computing and Applications, 2021, 33 : 4729 - 4739
  • [17] Key Data Source Identification Method Based on Multi-Source Traffic Data Fusion
    Li, Shuo
    Zhang, Mengmeng
    Chen, Yongheng
    [J]. CICTP 2020: TRANSPORTATION EVOLUTION IMPACTING FUTURE MOBILITY, 2020, : 364 - 375
  • [18] Methodology and Application of Fiscal and Tax Forecasting Analysis Based on Multi-Source Big Data Fusion
    Zhu, Lin
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [19] Methodology and Application of Fiscal and Tax Forecasting Analysis Based on Multi-Source Big Data Fusion
    Zhu, Lin
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [20] The application research of multi-source heterogeneous energy big data analysis
    Han, Xuemin
    Zheng, Gaofeng
    Liu, Pengxi
    Li, Zhou
    Ma, Junjie
    Chen, Xi
    [J]. 2020 13TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2020), 2020, : 168 - 171
12345