中药与临床2026,Vol.17Issue(1):24-30,7.
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
Knowledge graph construction and application analysis of Elaboration of LU's Drug Compatibility based on Neo4j graph database
摘要
Abstract
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.关键词
《卢氏药物配合阐述》/Neo4j/知识图谱/图数据库Key words
Elaboration of LUs'Drug Compatibility/Neo4j/knowledge graph/graph database分类
医药卫生引用本文复制引用
张会择,司龙飞,刘辰昊,黄兴贵,刘毅..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[J].中药与临床,2026,17(1):24-30,7.基金项目
四川省中医药管理局中医药科研专项课题重点项目(2024ZD024) (2024ZD024)
成都中医药大学"杏林学者"学科人才科研提升计划(XKTD2022014) (XKTD2022014)