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Issue title: Applied Mathematics Related to Nonlinear Problems
Guest editors: Juan L.G. Guirao and Wei Gao
Article type: Research Article
Authors: Huang, Junb | Zhu, Dingjua; * | Tang, Yonga
Affiliations: [a] School of Computer Science, South China Normal University, Guangzhou, China | [b] The First Affiliated Hospital of Jinan University, Guangzhou, China
Correspondence: [*] Corresponding author. Dingju Zhu, School of Computer Science, South China Normal University, Guangzhou 510631, China. E-mail: [email protected].
Abstract: This paper discussed a healthcare big data analysis system and device for health diagnosis robot. The system is composed of the health examination data acquisition equipment and a healthcare big data server. The health examination data acquisition equipment is used for acquiring health examination target data to be sent to the healthcare big data server. The healthcare big data server is used for searching the healthcare big data for health examination source data of the highest fuzzy matching degree with health examination target data. The corresponding diagnosis data to health examination source data is retrieved from healthcare big data server, according to which the analysis results corresponding to health examination target data is generated. The healthcare big data analysis system and device for health diagnosis robot provided in this paper makes the best of the healthcare big data to carry out analysis on health examination target data in order to improve the accuracy of the analysis results and raise the utilization rate of the healthcare big data.
Keywords: Healthcare big data, health diagnosis, big data analysis
DOI: 10.3233/JIFS-169347
Journal: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 5, pp. 2961-2970, 2017
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