基于Neo4j图数据库的《卢氏药物配合阐述》知识图谱构建与应用探析OA

Objective:Through digitizing and structuring the information on drugs and drug combinations recorded in Elab-oration of LU's Drug Compatibility,this study constructed a knowledge graph of LU's medicinal experience using Neo4j graph database technology.This study aimed to summarize LU's unique medication thinking,thereby promoting the inheritance and in-novation of their clinical medication experience.Methods:By manually tagging,14 types of traditional Chinese medicine entities and 14 types of entity relationships from Elaboration of LU's Drug Compatibility were extracted to form structured triple data.Then,Python was used to batch import triple data into Neo4j to construct a knowledge graph,achieving multidimensional organi-zation,digital storage,and visual display of LU's medication experience.Results:A knowledge graph of LU's medication expe-rience containing 4966 nodes and 7380 relationships was constructed.Knowledge retrieval and clinical medication recommenda-tions were implemented through the Cypher language.Conclusion:The knowledge graph of LU's medication experience visually displays their unique medication experience in a hierarchical network,clearly expressing their academic thoughts that advocate the mutual benefit of heart and kidney,focus on the harmony and adjustment of the spleen and stomach,and promote the prosperity of both spleen and kidney.The graph represents LU's unique drug application patterns in a structured form,which will help visualize and intelligently inherit LU's clinical experience and academic thoughts.