Automatic knowledge extraction from Chinese electronic medical records and rheumatoid arthritis knowledge graph construction.

ABSTRACT:

Background

Knowledge graphs are a powerful tool for organizing knowledge, processing information and integrating scattered information, effectively visualizing the relationships among entities and supporting further intelligent applications. One of the critical tasks in building knowledge graphs is knowledge extraction. The existing knowledge extraction models in the Chinese medical domain usually require high-quality and large-scale manually labeled corpora for model training. In this study, we investigate rheumatoid arthritis (RA)-related Chinese electronic medical records (CEMRs) and address the automatic knowledge extraction task with a small number of annotated samples from CEMRs, from which an authoritative RA knowledge graph is constructed.

Methods

After constructing

SUBMITTER: Liu F 

PROVIDER: S-EPMC10240026 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature