基于知识图谱的医疗问答系统设计与实现  

Design and Implementation of Medical Question Answering System Based on Knowledge Graph

作　　者：颜德彪 YAN Debiao(Luzhou Vocational and Technical College,Luzhou Sichuan 646000,China)

机构地区：[1]泸州职业技术学院,四川泸州646000

出　　处：《信息与电脑》2023年第13期123-125,共3页Information & Computer

基　　金：数据智能分析与处理泸州市重点实验室2022年度开放基金项目(项目编号:SZ202203)。

摘　　要：为提高医疗服务水平,设计基于知识图谱的医疗问答系统。首先,构建医疗问答系统,在业务层中搭建医疗数据知识图谱,并生成医疗问题知识模板;其次,采用基于相似度的问句实体抽取算法和意图识别算法,以获取用户的问题意图;最后,将意图传输至知识图谱,并查询相应答案返回给用户,从而实现智能医疗问答。In order to improve the level of medical service,a medical question answering based on knowledge graph is designed.Firstly,build a medical question answering,build a medical data knowledge graph in the business layer,and generate a medical problem knowledge template.Secondly,a similarity based question entity extraction algorithm and intention recognition algorithm are used to obtain the user's question intention.Finally,the intention is transmitted to the knowledge graph,and the corresponding answer is queried and returned to the user,thus realizing intelligent medical question and answer.

关 键 词：知识图谱 医疗问答 问题意图 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]