Rare child disease management method and system based on artificial intelligence and electronic equipment

By constructing a deep learning model, the challenges of data acquisition and management for children with rare diseases were solved, personalized health management plans were generated, and intelligent emotion recognition and psychological support were achieved, thereby improving the health management effectiveness for children with rare diseases.

CN120977481APending Publication Date: 2025-11-18TONGJI HOSPITAL ATTACHED TO TONGJI MEDICAL COLLEGE HUAZHONG SCI TECH +1
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Patent Information

Application Number
CN202511152434.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-18
Publication Date
2025-11-18

AI Technical Summary

Technical Problem

Existing technologies lack targeted and efficient tools to obtain data related to children with rare diseases, making it difficult to generate personalized health management plans. Furthermore, they lack intelligent emotion management and psychological support tools, failing to fully consider the individual differences and disease characteristics of children with rare diseases.

Method used

We construct and train deep learning models, including intelligent question answering models, emotion recognition models, psychological support models, and gene variation semantic understanding models. We acquire data through question answering, identify emotions and generate personalized management plans, transform language expression content, and analyze gene data to generate genetic risk assessments.

Benefits of technology

It has enabled the effective integration and analysis of data related to children with rare diseases, generated personalized health management plans, improved the accuracy of emotion management and the applicability of psychological support, provided more in-depth genetic evidence, and enhanced the scientific nature and accuracy of health management.

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Abstract

The invention discloses a rare child disease management method and system based on artificial intelligence and electronic equipment, and relates to the technical field of artificial intelligence and health cross, and the method comprises the steps: constructing and training a first preset deep learning model, and obtaining an intelligent question and answer model; and acquiring rare disease associated data of the rare sick child patient in a question and answer mode by using the intelligent question and answer model, and analyzing the rare disease associated data to generate a corresponding personalized health management scheme. According to the method, the intelligent question and answer model is obtained by constructing and training the first preset deep learning model, the problem that in the prior art, a targeted efficient tool is lacked to obtain the associated data of the rare sick children is solved, and scattered data can be effectively integrated. The intelligent question and answer model is used for obtaining data in a question and answer mode and analyzing the data, then the personalized health management scheme is generated, the defects that a traditional method depends on artificial experience and is difficult to meet the requirement for rapidly and accurately formulating the scheme are overcome, and the scientificity and accuracy of the health management scheme are improved.
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