摘要
自然语言处理(natural language processing,NLP)能够“自觉主动”地获取知识、理解、处理与表达,是计算机智能的集中体现,是促进医学实践与研究信息化的科技密钥。本文梳理NLP的发展沿革及其研究基础,重点介绍了目前NLP、大语言模型在生物医学以及中医药领域的应用,包括医学文本、中医古籍的智能化阅读与信息抽取、反馈,医学知识图谱和问答系统的构建等。NLP是发掘中医药宝库的技术支撑,对进一步助力高效、高质量的中医药核心价值发展与中医药服务能力提升具有重要的实践意义。
Natural language processing(NLP)is the embodiment of computer intelligence in acquiring knowledge,understanding,processing and expressing consciously and actively.It is the scientific key to promoting the informatization of medical practice and research.This paper reviews the development history and research basis of NLP,and focuses on the current application of NLP and large language models in biomedicine and traditional Chinese medicine(TCM),including the intelligent reading,information extraction and feedback of medical texts and ancient books of TCM,as well as the construction of medical knowledge graph and question-answering system.NLP is the technical support to explore the treasure house of TCM,which is of great practical significance to further promote the development of efficient and high-quality core values of TCM and to improve the service capacity.
作者
胡嘉元
邱瑞瑾
孙杨
商洪才
HU Jiayuan;QIU Ruijin;SUN Yang;SHANG Hongcai(Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University,Beijing 100010,P.R.China;Key Laboratory of Chinese Internal Medicine of Ministry of Education,Dongzhimen Hospital,Beijing University of Chinese Medicine,Beijing 100700,P.R.China)
出处
《中国循证医学杂志》
CSCD
北大核心
2024年第10期1205-1211,共7页
Chinese Journal of Evidence-based Medicine
基金
北京市自然科学基金青年项目(编号:7244479)。
关键词
自然语言处理
医学信息
中医药学
Natural language processing
Medicine information
Traditional Chinese medicine