Intelligent Healthcare Knowledge Resources in Chinese: A Survey

The new round of development of artificial intelligence technology has promoted its deep integration with the medical industry. Increasingly, research has applied image recognition, deep learning, knowledge graphs, and other technologies to the medical field, making great progress. However, the difference in content, structure, and quality of the data resources artificial intelligence relies on renders the auto-constructed medical knowledge base more vulnerable to errors. This paper surveys the medical resources needed to construct a medical knowledge base and ways to obtain medical resources. We classify these medical resources according to content, quality, difficulty in obtaining them, and the advantages and disadvantages in specific applications. We compare various types of medical resources domestically and internationally, especially the status of medical knowledge graphs. Finally, it is concluded that many issues regarding Chinese resources must still be resolved. [1]