自然语言处理技术在中医临床知识库中的应用  

Application of TCM Clinical Knowledge Based on Natural Language Processing

作　　者：韩滨 HAN Bin(Xinhua Hospital affiliated to Dalian University,Dalian,Liaoning 116021)

机构地区：[1]大连大学附属新华医院,辽宁大连116021

出　　处：《智慧健康》2025年第4期19-22,共4页Smart Healthcare

摘　　要：中医学拥有悠久的历史和深厚的文化积淀,但传统文献与临床数据的非结构化存储方式严重制约了中医知识的传承与利用效率。为解决这一问题,本研究采用自然语言处理技术,对中医领域的文本数据进行系统化、结构化处理,旨在构建智能化的中医临床知识库。通过多源数据采集、语料库构建及语义关系标注,本研究实现了中医文本的语义抽取和标准化表达。知识库的框架设计融合了临床辅助决策、教学支持和科研应用功能,并具备动态更新能力。在实际测试中,该知识库显著提升了中医诊疗效率和科研分析水平,同时为教学实践提供了高效的知识支持。研究成果为中医药现代化发展提供了可靠工具,具有显著的推广价值。Traditional Chinese medicine has a long history and profound cultural accumulation,but the unstructured storage of traditional literature and clinical data seriously restricts the efficiency of knowledge transmission and utilization.In order to solve this problem,this study uses natural language processing technology to systematically and structurally process the text data in the field of TCM,aiming at building an intelligent TCM clinical knowledge base.Through multi-source data collection,corpus construction and semantic relation annotation,the semantic extraction and standardized expression of TCM text are realized.The framework design of knowledge base integrates the functions of clinical assistant decision,teaching support and scientific research application,and has dynamic updating ability.In the actual test,the knowledge base significantly improves the efficiency of TCM diagnosis and treatment and the level of scientific research and analysis,while providing efficient knowledge support for teaching practice.The research results provide a reliable tool for the modernization of traditional Chinese medicine and have significant popularization value.

关 键 词：自然语言处理 中医临床知识库 语义抽取 

分 类 号：R2-03[医药卫生—中医学]