A Big Data Analysis Algorithm Designed for the Interactive Platform of the Intelligent Sensor Information System

In order to improve the interactive sharing ability of the medical information system and improve the adaptability of the medical file access and management, a big data analysis algorithm designed for the intelligent sensor information system interaction platform is proposed. Using the information c...

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Bibliographic Details
Published in:Journal of sensors 2022-04, Vol.2022, p.1-7
Main Authors: Xiao, Yitao, Zhang, Songlin, Shah, Mohd Asif
Format: Article
Language:English
Subjects:
Access control
Algorithms
Archives & records
Associations
Automation
Big Data
Cluster analysis
Data analysis
Data base management systems
Data collection
Data mining
Data models
Information management
Information sharing
Information technology
Interactive systems
Linux
Medical diagnosis
Neural networks
Security management
Software development
Trends
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Summary:In order to improve the interactive sharing ability of the medical information system and improve the adaptability of the medical file access and management, a big data analysis algorithm designed for the intelligent sensor information system interaction platform is proposed. Using the information collection, statistics, and summary in the archives, adopt the statistical method analysis, optimize the medical archives intelligent sensor information adaptive scheduling and access algorithm, establish the medical information interactive sharing database, design the medical information system interactive sharing platform under the B/S structure system, query and update the database management of the sharing platform, and complete the software development of the medical archives intelligent sensor information embedded interactive sharing platform. Simulation results show the recall rate of 0.82 to 1, much higher than the other two comparison methods, with better data mining performance. Therefore, the intelligent sensor medical information system interaction platform based on big data analysis can improve the science and standardization of the medical business.
ISSN:1687-725X
1687-7268
DOI:10.1155/2022/3928792