文献类型：期刊文献

中文题名：医学知识图谱研究综述

英文题名：Review of Medical Knowledge Graph Research

作者：刘悦悦[1];李燕[1]

第一作者：刘悦悦

机构：[1]甘肃中医药大学信息工程学院,甘肃兰州730000

第一机构：甘肃中医药大学信息工程学院（教育技术中心）

年份：2023

卷号：22

期号：5

起止页码：241

中文期刊名：软件导刊

外文期刊名：Software Guide

语种：中文

中文关键词：医学知识图谱;构建技术;人工智能;大数据

外文关键词：medical knowledge graph;construction technology;artificial intelligence;big data

摘要：知识图谱是一个古老又崭新的课题,是知识工程在新时代的新形态,也是当前人工智能的重要研究方向之一。知识图谱应用于医疗领域在一定程度上对医疗数据以及医患之间的治疗过程起到了很大的助推作用。针对医学知识图谱的构建,从医学数据源、医学知识抽取、医学知识融合、医学知识表示、医学知识存储、医学知识推理、医学质量评估7个方面结合相关文献展开叙述;然后总结医学知识图谱在临床决策支持诊断、医学知识普及、医学问答系统以及智能语义搜索方面的应用;最后就目前医学知识图谱面临的挑战进行讨论,以期为其进一步发展构建提供参考。
Knowledge graph is an old and new topic,a new form of knowledge engineering in the new era,and one of the important directions of artificial intelligence.The application of knowledge graph in the medical field has played a great role in pushing the medical data and the treatment process between doctors and patients to a certain extent.The feature of this paper is the construction of medical knowledge graph,from seven aspects:medical knowledge data source,medical knowledge extraction,medical knowledge fusion,medical knowledge representation,medical knowledge storage,medical knowledge reasoning,and medical quality assessment,and then summarizes the application of medical knowledge graph in clinical decision support diagnosis,medical knowledge popularization,medical question answering system and intelligent semantic search,and finally discusses the current challenges faced by medical knowledge graph,in order to provide reference for the development and construction of medical knowledge graph.