基于知识图谱的智能医疗研究  

Research on intelligent medicine based on knowledge graph

作　　者：俞思伟[1] 范昊[2] 王菲[2] 徐雷[2] 

机构地区：[1]武汉大学医学部,武汉430071 [2]武汉大学信息管理学院,武汉430071

出　　处：《医疗卫生装备》2017年第3期109-111,126,共4页Chinese Medical Equipment Journal

基　　金：国家自然科学基金(71661167007)

摘　　要：目的:利用知识图谱技术将各种医疗信息系统中琐碎、零散的知识相互连接,以支持综合性知识检索以及问答、辅助决策支持等智能医疗应用。方法:在构建医疗领域本体和对医疗知识库进行语义标注的基础上,以慢病为例,构建医疗知识图谱并将其应用于智能医疗中。结果:提出了医疗知识图谱的构建方法和将其应用于基于医疗知识库的语义分析、推理以及疾病辅助诊断系统的方法。结论:基于知识图谱的智能医疗应用将在解决国内优质医疗资源供给不足和医疗服务需求持续增加的矛盾中产生重要的作用。Objective To discuss the use of knowledge graph technology to connect various trivial and fragmented knowledge in various medical information systems and support comprehensive knowledge retrieval and intelligent medical applications such as QA and clinical decision support.Methods Based on the construction of medical field ontology and semantic labeling of medical knowledge base,the medical knowledge graph was constructed and applied to intelligent medicine,with chronic disease taken as an example.Results The construction method of medical knowledge graph and its application in semantic analysis,reasoning and disease-assisted diagnosis system based on medical knowledge base were put forward.Conclusion The application of intelligent medicine based on knowledge graph will play an important role in contradiction between the supply of high-quality medical resources and increasing medical requirements.

关 键 词：知识图谱 智能医疗 本体 语义分析 辅助诊断 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] R-05[自动化与计算机技术—控制科学与工程]