Personalized health management service system based on multi-source data fusion

By using a multi-source data fusion system, the problems of data distortion, lack of cross-domain relevance, and compliance in the health management system have been solved, enabling personalized, scientific, and traceable health management solutions and improving the accuracy of data utilization and system adaptability.

CN121306552APending Publication Date: 2026-01-09BEIJING RONG MEDIA ZHIZHONG NETWORK TECH CO LTD
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Patent Information

Application Number
CN202511478829.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-16
Publication Date
2026-01-09

AI Technical Summary

Technical Problem

Existing health management systems suffer from differences in data format, sampling frequency, and update cycle when processing multi-source data. They lack a unified processing mechanism, leading to data distortion, lack of cross-domain correlation mining, lack of targeted personalized solutions, insufficient interaction and feedback compliance indicators, and inadequate compliance traceability mechanisms.

Method used

Through a multi-source data fusion system, including data collection, fusion processing, cross-domain correlation construction, risk modeling, compliance assessment, and audit compliance control, data cleaning, weight calculation, graph generation, personalized solution generation, and dynamic adjustment are achieved. Combined with subjective feedback and objective monitoring, the scientific nature and traceability of data processing are ensured.

Benefits of technology

It improves the accuracy and scientific rigor of health management data utilization, generates personalized, scientific, and traceable health management solutions, meets compliance requirements, and enhances the system's adaptability and reliability.

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Abstract

The invention belongs to the technical field of health information processing and management, and discloses a personalized health management service system based on multi-source data fusion, which comprises a data acquisition device access wearable device, a health application, a medical information system and a user terminal entry data, the fusion processing platform carries out missing completion, abnormity elimination, time alignment and weighted fusion on the data to form a weighted fusion sequence, the cross-domain correlation builder generates a correlation map of lifestyles and clinical indexes, and the risk modeling engine outputs individual health risks under the constraint of the map. The management scheme generator generates personalized diet, exercise, sleep and disease prevention schemes under the constraint of the rule base. The compliance evaluation system combines subjective feedback and objective monitoring to form scores, the scheme adjustment mechanism executes minimum disturbance update based on scores and atlas trends, and the auditing unit realizes whole-process data tracing and compliance guarantee.
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