现代信息科技2025，Vol.9Issue(22)：98-102,108,6.DOI:10.19850/j.cnki.2096-4706.2025.22.018
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
Multi-disease Chronic Disease Management System Based on Multi-modal Data Fusion and Knowledge Graph Reasoning
李静 1黄婧 1孙思雨 1赵远 1石培文1
作者信息
- 1. 空军军医大学唐都医院 健康管理科,陕西 西安 710038
- 折叠
摘要
Abstract
Chronic disease has become a major public health problem that seriously endangers the health of our people.The number of patients with chronic diseases in China is huge and there are multiple diseases coexisting.The traditional medical model is highly dependent on the manual operation of medical care.The existing system only supports single-disease chronic disease management,and the data of each disease are isolated from each other.This paper discusses the construction of chronic disease intelligent follow-up system for multi-disease management following the top-level design concept.Based on multi-modal data fusion,dynamic form,Knowledge Graph and AI voice follow-up technology,the system integrates joint analysis of image,text and biochemical indicator data.The system realizes the functions of supporting multi-disease chronic disease management path,differential follow-up data collection and intelligent follow-up result analysis.The system provides an efficient tool for multi-disease chronic disease follow-up management,breaks through the limitations of traditional single disease single data mode,is compatible with complex chronic disease comorbidity scenarios,has high versatility and high reusability,and meets the needs of doctors to effectively carry out follow-up intervention and patient self-management.关键词
多病种慢病管理/多模态数据融合/动态表单/知识图谱/AI语音随访Key words
multi-disease chronic disease management/multi-modal data fusion/dynamic form/Knowledge Graph/AI voice follow-up分类
信息技术与安全科学引用本文复制引用
李静,黄婧,孙思雨,赵远,石培文..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[J].现代信息科技,2025,9(22):98-102,108,6.
