知识图谱在卫生服务领域的应用现状与展望  

The applications and prospects of knowledge graph in health services

作　　者：潘旋 任菁菁[2] 张秋华[1] 刘颖 Pan Xuan;Ren Jingjing;Zhang Qiuhua(The Sir Run Run Shaw Hospital Afiliated Zhejiang University School of Medicine,Hangzhou,Zhejiang 310003;The First Affliated Hospital of Zhejiang University School of Medicine,Hangzhou,Zhejiang 310003)

机构地区：[1]浙江大学医学院附属邵逸夫医院,浙江杭州310003 [2]浙江大学医学院附属第一医院,浙江杭州310003

出　　处：《基层医学论坛》2023年第10期93-96,129,共5页The Medical Forum

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。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.

关 键 词：知识图谱 人工智能 卫生服务 全科医学 

分 类 号：R499[医药卫生—康复医学] R197.324[医药卫生—临床医学]