摘要
对国内近10年中医药知识图谱研究类型和方向进行了述评,结合知识图谱的技术发展趋势,对该技术在中医药领域的应用方向进行了展望。中医药知识的可视化表达是中医药现代化、信息化的重要研究内容,中医药知识图谱应进一步结合人工智能、大数据方法深入挖掘中医药知识内涵,面向中医医疗文本、中医客观诊疗数据开展技术方法研发及场景应用研究,以期更好地支持智慧中医药的发展。
This paper reviews the research types and directions of TCM(Traditional Chinese Medicine)knowledge graph in China in the past ten years,and prospects the application direction of this technology in the field of TCM in light of the technology development trend of knowledge mapping.The visual expression of TCM knowledge is an important research content of TCM modernization and informatization.The TCM knowledge graph should be further integrated with AI(Artificial Intelligence)and big data methods to deeply explore the connotation of TCM knowledge,in order to support the development of intelligent Chinese medicine,the research and development of technology and method and scenario application are carried out based on TCM medical text and TCM objective diagnosis and treatment data.
作者
赵汉青
ZHAO Hanqing(College of Traditional Chinese Medicine,Hebei University,Baoding 071002,Hebei Province,China)
出处
《中国数字医学》
2023年第8期102-107,共6页
China Digital Medicine
基金
国家自然科学基金青年科学基金项目(82004503)
河北省高等学校科学技术研究项目(QN2020272)
河北省中医药管理局科研计划项目(2021176)。
关键词
知识图谱
中医药
中医信息学
人工智能
述评
Knowledge graph
Traditional Chinese Medicine
Chinese medicine informatics
Artificial intelligence
Review