WIT120 data mining technology based on internet of things

Qingyuan Zhou (), Zongming Zhang () and Yuancong Wang ()
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Qingyuan Zhou: Changzhou Vocational Institute of Mechatronic Technology
Zongming Zhang: Xidian University
Yuancong Wang: Sichuan University

Health Care Management Science, 2020, vol. 23, issue 4, No 15, 680-688

Abstract: 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.

Keywords: Data mining; MapReduce; Solf-evolving; K-means (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s10729-019-09497-x

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