CvdKG: Cardiovascular Disease Knowledge Graph Construction with Cascading Pointer Networks

Cardiovascular disease is a common major chronic disease characterized by high mortality rate, and high difficulty in rehabilitation. This paper constructs a Cardiovascular diseases Knowledge Graph CvdKG . According to the medical vocabulary and medical knowledge base, CvdKG has determined 15 entity types and 74 relationship types with diseases and operations as the core. The Cascading pointer network CASREL_pclBERT model suitable for the medical field is used to automatically extract knowledge from medical texts and manually proofread them. Knowledge fusion is carried out based on multi similarity weighting. The constructed CvdKG includes 217 core cardiovascular diseases, 8,845 related diseases, 433 surgeries, and 68,316 triples. CvdKG can provide data support for intelligent question answering and auxiliary diagnosis of cardiovascular diseases.