知识图谱在卫生服务领域的应用现状与展望

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【摘要】  知识图谱是人工智能技术在医疗领域实现的基石，目前其在卫生服务领域主要应用于信息搜索引擎、智能问答、诊疗决策支持系统、信息可视化分析等方面。结合全科医学的特点，本文同时探讨了知识图谱在慢性病管理、疾病预测和筛查及临床决策支持方面的应用前景，以期为临床研究及应用提供参考。

【关键词】 知识图谱；人工智能；卫生服务；全科医学

The applications and prospects of knowledge graph in health services

Pan Xuan Ren Jingjing Zhang Qiuhua et al.1 The Sir Run Run Shaw Hospital Affiliated Zhejiang University School of Medicine，Hangzhou，Zhejiang  310003;2 The First Affiliated Hospital of Zhejiang University School of Medicine，Hangzhou，Zhejiang  310003

【Abstract】  Medical knowledge graph is the cornerstone of Artificial Intelligence and Smart Healthcare.The main applications of medical knowledge graphs are search engine，question-answering system，decision support system，and visual analysis.Combined with the characteristics of general medicine.This paper discusses the application status of medical knowledge graphs in chronic disease management，screening and prediction of diseases，and auxiliary clinical diagnosis of diseases，so as to provide reference for clinical application and research.

【Key Words】  Medical knowledge graphs；Machine learning；Health service；General medicine

中图分类号：R499；R197.324        文献标识码：A        文章编号：1672-1721（2023）10-0093-04

DOI：10.19435/j.1672-1721.2023.10.030

2022年1月国家卫生健康委印发了《“十四五”卫生健康标准化工作规划》，要求各地区、相关部门要协调推进互联网、大数据、人工智能、区域链、5G、物联网、IPv6（互联网协议第6版）等新兴信息技术与卫生健康行业融合性标准的供给，促进信息技术在医疗领域的研发和应用[1]。（剩余7686字）