摘要
隐性知识是支撑中医药学术传承和不断发展的不可或缺的基石,其包涵于中医药学理论和辨证施治的各个方面,是中医药学传承和名老中医经验继承的核心内容之一。中医药学隐性知识的庞杂性、高度个体化、对文化背景、地域环境的依赖性和难以显性化等特性阻碍了其准确、广泛的传承。本文对隐性知识在中医药学术传承的应用现状进行系统梳理,结合人工智能在对知识的学习、处理及实践运用中的优势,提出应将其与中医药学隐性知识的挖掘相结合,能够极大的提高中医药学隐性知识的传承效率和准确度,并扩大服务度。
Tacit knowledge is an indispensable cornerstone for the academic heritage and continuous development of Chinese medicine. It exists in every aspect of the theory of dialectical treatment of the Chinese medicine and the syndrome differentiation, and it is also one of the core contents of the heritage of both the Chinese medicine and the experienced doctors. The characters of complexity, highly individualized, dependence on cultural background and regional environment, as well as difficult to explicate of the tacit knowledge in the Chinese medicine, bring huge obstacles to the accurate and extensive heritage of it. In this paper, we systematically review the application of tacit knowledge in the academic heritage of Chinese medicine. Consider the advantages of artificial intelligence(AI) in the learning, processing and practical application of the knowledge, we suggest to apply AI to the mining of tacit knowledge in Chinese medicine, which could extremely improve the efficiency and accuracy of the Chinese medicine heritage, and expand the service of the Chinese medicine.
作者
蓝旭
赵俊男
张颖
刘玥
徐凤芹
Lan Xu;Zhao Junnan;Zhang Ying;Liu Yue;Xu Fengqin(Xiyuan Hospital,China Academy of Chinese Medical Sciences,Beijing 100091,China;Institute of Geriatric Medicine,China Academy of Chinese Medical Sciences,Beijing 100091,China)
出处
《世界科学技术-中医药现代化》
CSCD
北大核心
2019年第3期361-365,共5页
Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology
基金
国家科技部重点研发计划“中医药现代化研究”(2017YFC1700301):名老中医临床医案的隐性知识建模及挖掘方法研究,负责人:徐凤芹
关键词
隐性知识
中医药
学术传承
人工智能
Tacit knowledge
Chinese medicine
academic heritage
artificial intelligence
