KEYWORDS: Data modeling, Data mining, Data storage, Databases, Blood pressure, Design and modelling, Error analysis, Data analysis, Data acquisition, Diseases and disorders
In order to improve the function of smart health data analysis platform, this paper puts forward the application research of k-means algorithm in the design of smart health data analysis platform. A smart health service platform based on data mining is designed, and the platform is divided into three parts: data acquisition module, data storage module and data mining module. After that, the function and implementation method of each module are introduced in detail. Among them, the data acquisition module realizes the acquisition of data of Bluetooth electronic blood pressure meter; The data storage module adopts the combination of traditional database storage and cloud storage to solve the storage problem of massive health data; The data mining module uses the improved k-means algorithm and GM (1,1) grey prediction algorithm to analyze and predict the preprocessed data.
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