Construction of Chinese Pediatric Epilepsy Knowledge Graph

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 pediatric epilepsy intelligent medical applications. We apply natural language processing and text mining techniques with a semi-automated approach to develop the chinese pediatric epilepsy knowledge graph(CPeKG). The CPeKG covers typical entitie types such as disease, drug and examination, with about 60,000 entities and 190,000 entity-relationship triplets. This paper presents the description system, key technologies, construction process of CPeKG. The CPeKG can provide external knowledge for pediatric epilepsy intelligent medical applications, and has important practical significance for the diagnosis and treatment of pediatric epilepsy.