中文医学知识图谱CMeKG构建初探

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Abstract The medical knowledge graph is the cornerstone of intelligent medical applications. The existing medical knowledge graphs are not enough from the perspectives of scale, specification, taxonomy, formalization as well as the precise description of the knowledge to meet the needs of intelligent medical applications. We apply natural language processing and text mining techniques with a semi-automated approach to develop the Chinese Medical Knowledge Graph (CMeKG 1.0) . The construction of CMeKG 1.0 refers to the international medical coding systems such as ICD-10, ATC, and MeSH, as well as large-scale, multi-source heterogeneous clinical guidelines, medical standards, diagnostic protocols, and medical encyclopedia resources. CMeKG covers types such as diseases, drugs, and diagnosis/treatment technologies, with more than 1 million medical concept relationships. This paper presents the description system, key technologies, construction process and medical knowledge description of CMeKG 1.0, serving as a reference for the construction and application of knowledge graphs in the medical field.

Key words： knowledge graph intelligent medical treatment knowledge description system knowledge extraction

Received: 15 April 2019

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	Articles by authors
	BYAMBASUREN Odmaa
	YANG Yunfei
	SUI Zhifang
	DAI Damai
	CHANG Baobao
	LI Sujian
	ZAN Hongying

Cite this article:

BYAMBASUREN Odmaa,YANG Yunfei,SUI Zhifang, et al. Preliminary Study on the Construction of Chinese Medical Knowledge Graph[J]. , 2019, 33(10): 1-7.

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http://jcip.cipsc.org.cn/EN/ OR http://jcip.cipsc.org.cn/EN/Y2019/V33/I10/1

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