Application of k-means algorithm in the design of smart health data analysis platform

Xing'e Hu; Xiaoxiao Yu

doi:10.1117/12.3005309

9 October 2023 Application of k-means algorithm in the design of smart health data analysis platform

Xing'e Hu, Xiaoxiao Yu

Proceedings Volume 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023); 1279125 (2023) https://doi.org/10.1117/12.3005309
Event: Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 2023, Qingdao, SD, China

Abstract

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.

Citation Download Citation

Xing'e Hu and Xiaoxiao Yu "Application of k-means algorithm in the design of smart health data analysis platform", Proc. SPIE 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 1279125 (9 October 2023); https://doi.org/10.1117/12.3005309

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