1(Research Institute of Information Technology,Tsinghua University,Beijing 100084,China)2(College of Internet of Things Engineering,Hohai University,Changzhou 213022,China)3(Beijing Foreign Studies University,Beijing 100089,China)
Abstract：With the progress of medical informatization and the substantial growth of clinical data,knowledge graph is playing an increasingly important role in medical domain.Medical domain is highly specialized with abundant high-quality ontologies,and has many professional sub-fields such as cardiovascular diseases,diabetes mellitus and so on.It is very difficult to build a health knowledge graph for all of the diseases because of data availability and deep involvement of doctors.In this paper,we propose an efficient and extensible framework to construct knowledge graphs for specific diseases based on prior medical knowledge and EMRs with doctor-involved.After that,we present the detailed process how it is applied to extend an existing health knowledge graph to include a new disease.It is confirmed that using this framework,doctors can get highly specialized health knowledge graphs conveniently and efficiently.
盛明,陈玉思,张勇,韩光洁,黄天昊,刑春晓. 一种面向医疗健康领域知识图谱的可扩展系统架构的研究[J]. 小型微型计算机系统, 2019, 40(10): 2150-2154.
SHENG Ming,CHEN Yu-si,ZHANG Yong,HAN Guang-jie,HUANG Tian-hao,XING Chun-xiao. Research of an Extensible Framework for Health Knowledge Graph. Journal of Chinese Computer Systems, 2019, 40(10): 2150-2154.
2019, Vol. 40 
