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WIT120 data mining technology based on internet of things

Author

Listed:
  • Qingyuan Zhou

    (Changzhou Vocational Institute of Mechatronic Technology
    Changzhou Vocational Institute of Mechatronic Technology
    Changzhou Vocational Institute of Mechatronic Technology)

  • Zongming Zhang

    (Xidian University
    The University of Texas at Dallas)

  • Yuancong Wang

    (Sichuan University)

Abstract

In recent years, with the increasing aging of society, the number of patients with chronic heart disease, hypertension and diabetes has increased dramatically. It has guiding significance for the prevention and treatment by long-term monitoring of the physiological signs of patients with chronic diseases, scoring statistical data, and predicting the development trend of users’ health. The work used the data collected by WIT120 system to analyze the pre-processed thick data based on adaptive k-means clustering method under the MapReduce framework, and the GM (1,1) grey model was used to predict the future health status of users. The simulation results have verified the effectiveness of the proposed algorithm.

Suggested Citation

  • Qingyuan Zhou & Zongming Zhang & Yuancong Wang, 2020. "WIT120 data mining technology based on internet of things," Health Care Management Science, Springer, vol. 23(4), pages 680-688, December.
    • Handle: RePEc:kap:hcarem:v:23:y:2020:i:4:d:10.1007_s10729-019-09497-x
    DOI: 10.1007/s10729-019-09497-x
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    References listed on IDEAS

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    1. Qingyuan Zhou, 2018. "Multi-layer affective computing model based on emotional psychology," Electronic Commerce Research, Springer, vol. 18(1), pages 109-124, March.
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