摘要
通过引入人工智能"数据喂养"分析中医理论化特征,认为中医理论化进程的本质是以人脑为物质基础、以唯物辩证法为指导原则,以广义的"临床信息"构建数据库,实现中医学"数据喂养"的数字化决策。由此提出:"数据池"容量与质量的提升是中医理论化进程最主要动因;"数据池"的凋敝将导致中医发展停滞,当代中医学发展需着力于"治已病"实践;人工智能领域的进一步发展有望加深我们对中医学理论的理解,为认识中医建立新的历史语境。
This paper analyzes the theoretical characteristics of traditional Chinese medicine(TCM) by applying artificial intelligence "data feeding" to it. It is believed that the essence of the theorization of TCM is to construct the database of general "clinical information" based on the human brain as the material base and with materialist dialectics as the guiding principle to realize the digital decision-making process of "data feeding" in TCM. The conclusions are follows. Improvement in the volume and quality of the "data pool" is the most important motive force for TCM theorization. On the other hand, the decline of the "data pool" will lead to the stagnation of TCM development, and the present development of TCM should focus on the clinical practice of treating diseases. In addition, further development in the field of artificial intelligence is expected to deepen our understanding of TCM by providing a new historical context.
作者
吴昊
王倩
刘宏
严然
由凤鸣
郑川
Wu Hao;Wang Qian;Liu Hong;Yan Ran;You Fengming;Zheng Chuan(Hospital of Chengdu Universily of Traditional Chinese Medicine,Sichuan 610072,China;Cancer Institute,Chengdu University of Traditional Chinese Medicine,Sichuan 610072,China)
出处
《北京中医药大学学报》
CAS
CSCD
北大核心
2020年第9期718-722,共5页
Journal of Beijing University of Traditional Chinese Medicine
基金
国家自然科学基金面上项目(No.81774284)
国家自然科学基金青年项目(No.81803994)。
关键词
数据喂养
治已病
人工智能
理论化
中医
data feeding
to treat a disease
artificial intelligence
theorization
TCM
