摘要
目的:利用Python网络爬虫及电子病历数据构建糖尿病知识图谱。方法:利用Protege构建糖尿病本体库,Neo4j进行知识存储和知识推理,Django框架开发Web端和pyahocorasick模块实现自然语言的处理。结果:实现了糖尿病知识图谱问答系统的患者信息查询和知识查询功能。结论:辅助临床医生进行医疗决策,便于普通大众了解糖尿病基本知识。
Objective: Use the data from Python web crawler and electronic medical record to build a diabetes knowledge map. Methods: It used protege to build a diabetes ontology library, Neo4 j for knowledge storage and knowledge reasoning, Django framework was used for development web and pyahocorasick module for natural language processing. Results: The patient information query and knowledge query function of the diabetes knowledge map question answering system was realized. Conclusion: It assisted clinicians in making medical decisions and made it easier for the general public to understand the basics of diabetes.
作者
杨美洁
熊相超
YANG Mei-jie;XIONGXiang-chao(Medical Informatics College,Chongqing Medical University,Chongqing 400016,P.R.C.)
出处
《中国数字医学》
2020年第2期6-8,共3页
China Digital Medicine
基金
重庆市社会事业与民生保障科技创新专项(编号:cstc2015shms-ztzx10003)
2018年重庆医科大学大学生创新训练项目(编号:CXSY201825)。
关键词
糖尿病
知识图谱
知识存储
知识推理
问答系统
diabetes
knowledge map
knowledge storage
knowledge reasoning
question answering system
