A survey of medical knowledge graph based on EHR

Abstract:

Electronic health record (EHR) as a means of medical informatization has stored and accumulated big data of medical processes and results. Knowledge graph as a means to extract structured knowledge from massive data has recently shown broad application prospects in many industries. The application of knowledge graph technology to the analysis of EHR data can help obtain valuable medical knowledge and experience which could be used to improve the effectiveness and efficiency of medical industry significantly. This paper firstly introduced the development status of EHR, the existing famous EHR data sets and their application results. Secondly, on the basis of summarizing the current developments of knowledge graph, it analyzed the trend and hot-spot migration of knowledge graph in medical field as well. Then, it summarized the research and application progresses of EHR based medical knowledge graph which include the information extraction, data integration, query expansion, clinical diagnostic support and disease prediction of EHR, etc. Finally, this paper also gave the future development directions and challenges of EHR based medical knowledge graph.