A health detection and management method based on medical big data

By adopting the combination of health detection equipment and mobile intelligent platform in the medical big data collection and management system, combining the k-means clustering algorithm for data cleaning, and based on the authority-based identity security authentication mechanism, data quality problems and user privacy protection problems in medical big data collection, storage, analysis and management are solved, and high-quality data analysis and the satisfaction of different application needs are achieved.

CN113921137BActive Publication Date: 2025-03-25SHENZHEN BAISHUIHUAN INTELLIGENT TECH CO LTD
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Patent Information

Application Number
CN202111202076.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2021-10-15
Publication Date
2025-03-25
Estimated Expiration
2041-10-15

AI Technical Summary

Technical Problem

The prior art has data quality problems in the collection, storage, analysis and management of medical big data, such as redundancy, heterogeneity, inconsistency and incompleteness, and it is difficult to meet the different application needs of users/family-doctors-researchers for medical data, while protecting user privacy is challenged.

Method used

Medical data is collected in real time through health testing equipment, and data communication is established with the cloud center server using mobile smart platform. The data processing module uses the k-means clustering algorithm to clean up abnormal data and improve data quality. At the same time, the permission-based identity security authentication mechanism ensures that users with different permissions can access the data corresponding to their permissions and protect user privacy.

Benefits of technology

It effectively improves the quality of data collection, enhances the depth and accuracy of data analysis, meets the application needs of different user groups for medical data, and provides safe and reliable data query services while protecting user privacy.

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Abstract

The present invention discloses a health detection and management method based on medical big data, which includes: a health detection device collects user medical data, establishes data communication with a cloud center server through a mobile intelligent platform; the cloud center server includes a data processing module, a data analysis module and a data storage module; the data processing module performs data cleaning, data regulation, data segmentation, and outputs processed data on the collected data; the data analysis module performs modeling analysis on the processed data, performs medical data analysis and risk prediction on individual users, and performs big data statistics and analysis on user groups; the data storage module stores user historical health data and analysis and mining results; the data query module includes identity security authentication and information query based on permissions. The present invention has the advantages of being able to effectively improve the quality of collected data and meet different application requirements of different types of users for medical data while protecting user privacy.
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