基于知识驱动技术路径的药品不良反应知识图谱构建方法  

Construction Method of Drug Adverse Reaction Knowledge Graph Based on Knowledge-Driven Technology Path

作　　者：任韡 许燕[2] 王青 裴梓彤 王涛 刘颖 张业象[2] REN Wei;XU Yan;WANG Qing;PEI Zitong;WANG Tao;LIU Ying;ZHANG Yexiang(Research Center for Pharmacovigilance IT and Data Science,Tsinghua University,Beijing 100084,China;Center for ADR Monitoring of Guangdong,Guangzhou 510080,China;Research Center for Pharmacovigilance Innovation,Research Institute of Tsinghua,Pearl River Delta,Guangzhou 510799,China;Center for Drug Reevaluation of the National Medical Products Administration,NMPA Key Laboratory for Research and Evaluation of Pharmacovigilance,Beijing 100076,China)

机构地区：[1]清华大学药物警戒信息技术与数据科学创新中心,北京100084 [2]广东省药品不良反应监测中心,广州510080 [3]清华珠三角研究院药物警戒创新研究中心,广州510799 [4]国家药品监督管理局药品评价中心,国家药品监督管理局药物警戒研究与评价重点实验室,北京100076

出　　处：《医药导报》2025年第4期565-569,共5页Herald of Medicine

基　　金：2023年广东省药品监督管理局科技创新项目(2023YDZ01);药品监管科学全国重点实验室课题(2024SKLDRS0233)。

摘　　要：目的针对药品不良反应对患者健康的潜在威胁和传统监测方法的局限性,研究基于知识驱动技术路径的药品不良反应知识图谱的构建方法,推进药物警戒领域的智慧化升级。方法建立药品不良反应知识库,对知识库中的数据进行预处理,探索利用BERT-CRF模型识别并抽取出相关实体、关系及属性信息,结合规则方法和统计方法进行知识对齐,将知识融合后的数据存入Neo4j图数据库,构建药品不良反应知识图谱。结果基于建立的药品不良反应知识库,探索了通过知识驱动技术构建药品不良反应知识图谱的方法,为数据挖掘和基于知识图谱开发智能辅助系统工具打下了基础。结论基于知识驱动技术路径的药品不良反应知识图谱构建方法研究,为药物警戒领域的智慧化升级提供了新的视角和技术路径,对于提高药品安全性、保护患者健康、促进医药行业健康发展具有重要的理论和实际意义。Objective In view of the potential threat of adverse drug reaction(ADR)to patients'health and the limitations of traditional monitoring methods,this study investigates the construction method of an ADR knowledge graph based on a knowledge-driven technology path to promote the intelligent upgrading of pharmacovigilance field.Methods In this study,an adverse drug reaction knowledge base was established,and the data within the knowledge base were preprocessed.The BERT-CRF model was utilized to identify and extract the relevant entities,relationships and attribute information,and knowledge alignment was carried out by combining the rule method and statistical method.The knowledge fusion data was stored in the Neo4j graph database to construct the knowledge graph.Results Based on the established knowledge base,this study explored the method of constructing knowledge graph of adverse drug reaction by knowledge-driven technology,laying the groundwork for data mining and the development of intelligent auxiliary system tools based on knowledge graph.Conclusions The study on the construction method of an ADR knowledge graph based on a knowledge-driven technology path provides a new perspective and technical path for the intelligent upgrading of pharmacovigilance field.It holds important theoretical and practical significance for improving drug safety,protecting patients'health,and promoting the healthy development of pharmaceutical industry.

关 键 词：药品不良反应 知识驱动 知识图谱 监管 智能化 

分 类 号：R9[医药卫生—药学]