基于多模态数据融合与知识图谱推理的多病种慢病管理系统

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中图分类号：TP311 文献标识码：A 文章编号：2096-4706（2025）22-0098-06

Multi-disease Chronic Disease Management System Based on Multi-modal Data Fusion and Knowledge Graph Reasoning

LI Jing，HUANGJing，SUNSiyu，ZHAOYuan，SHIPeiwen （DepartmentofHealthManagement，TangduHospital，FourthilitaryMedicalUniversity，Xi'an7oo38，China）

Abstract： Chronic disease has become a major public health problem that seriously endangers the health of our people. Thenumberofpatients withchronicdiseases inChinaishugeandtherearemultiplediseasescoexisting.Thetaditionalmedical modelis highlydependentonthe manualoperation of medicalcare.The existing systemonly supports single-disease chronic diseasemanagement，andthedataofeachdiseaseareisolatedfromeachother.Thispaperdiscusses theconstructionofchronic diseaseintellgentfollow-upsystem formulti-diseasemanagementfollowingthetop-leveldesignconcept.Basedonmulti-modal datafusiondyamicfor，KnowledgeGaphandAvoicefollwupechnologythesstemintegratesjointaalysisofge， text and biochemical indicatordata.The systemrealizes the functions of supporting multi-diseasechronic disease management path，diferentialfollow-updatacollectionandintellgnt follo-uprsultanalysis.Thesystmprovides anefcienttoolfor multi-diseasechronicdiseasefolow-upmanagement，breaks throughthelimitationsoftraditionalsinglediseasesingledata mode，iscompatiblewithcomplexhroniciseasecomorbidityscenarios，hasighversatilityandhigheusabilityandetsthe needs of doctors to effectively carry out follow-up intervention and patient self-management.

Keywords： multi-disease chronic disease management; multi-modaldata fusion;dynamic form;Knowledge Graph; AI voice follow-up

0 引言

慢病已成为严重危害我国人民群众身体健康的重大公共卫生问题[I]。（剩余7274字）