基于循证医学和电子病历数据的通用医学知识图谱构建  

Construction of a General Medical Knowledge Graph Based on Evidence-based Medicine and Electronic Medical Record Data

作　　者：吴欢 车贺宾[1,2] 王万玲 陈媛媛 李重勋[3] 张超 庄严 何昆仑 WU Huan;CHE Hebin;WANG Wanling;CHEN Yuanyuan;LI Zhongxun;ZHANG Chao;ZHUANG Yan;HE Kunlun(Medical Innovation Research Department of Chinese PLA General Hospital,Beijing 100853,China;National Engineering Research Center of Medical Big Data Application Technology,Beijing 100853,China;Goodwill Hessian Health Technology Co.Ltd.,Beijing 100085,China)

机构地区：[1]中国人民解放军总医院医学创新研究部,北京100853 [2]医疗大数据应用技术国家工程研究中心,北京100853 [3]北京嘉和海森健康科技有限公司,北京100085

出　　处：《医学信息学杂志》2025年第2期22-28,共7页Journal of Medical Informatics

基　　金：科技创新2030——“新一代人工智能”重大项目(项目编号:2021ZD0140406);北京市自然科学基金-海淀原始创新联合基金资助项目(项目编号:L222006)。

摘　　要：目的/意义构建涵盖循证医学知识和电子病历数据的通用医学知识图谱,以提升图谱的应用效能。方法/过程梳理多源异构数据情况,融合国内外知名知识图谱,设计图谱schema。利用RoBERTa预训练模型进行词嵌入,从医学文献、网络文献、教科书、医学数据库和电子病历等数据源中提取命名实体和关系,采用基于规则的SWIQA框架和基于随机抽样的人工审核策略评价图谱质量。结果/结论共确定128个本体和1108种关系,并以三元组形式存储于数据库中。经评估,图谱语义准确性达93.8%。所构建的通用医学知识图谱不仅涵盖循证医学知识,还包括临床真实世界产生的专家经验,为医学人工智能应用的进一步发展提供了有力支撑。Purpose/Significance To construct a general medical knowledge graph covering evidence-based medical knowledge and electronic medical record(EMR)data,so as to improve the application effect of the graph.Method/Process The multi-source heterogeneous data are sorted out,the well-known knowledge graphs at home and abroad are integrated,the schema of the graphs is designed.The word embedding of RoBERTa pre-trained model is used to extract entities and relationships from medical literatures,network literatures,textbooks,medical databases and EMRs.The rule-based SWIQA framework and the manual audit strategy based on random sampling are used to evaluate the quality of the graph.Result/Conclusion A total of 128 ontologies and 1108 relationships are identified and stored in the database in the form of triples.The semantic accuracy of the atlas is 93.8%by evaluation.The general medical knowledge graph not only covers evidence-based medical knowledge,but also includes expert experience generated in the clinical real world,which can provide support for the further development of medical AI applications.

关 键 词：循证医学 电子病历 医学知识图谱 

分 类 号：R-058[医药卫生]