主 办:北 京 中 医 药 大 学
ISSN 1006-2157 CN 11-3574/R

北京中医药大学学报 ›› 2020, Vol. 43 ›› Issue (9): 718-722.doi: 10.3969/j.issn.1006-2157.2020.09.003

• 理论研究 • 上一篇    下一篇

基于“数据喂养”模式的中医理论化进程探讨*

吴昊1, 王倩1, 刘宏1, 严然1,2, 由凤鸣1,2, 郑川1#   

  1. 1 成都中医药大学附属医院 四川 610072;
    2 成都中医药大学肿瘤研究所
  • 收稿日期:2019-11-26 发布日期:2020-09-29
  • 通讯作者: #郑川,男,博士,副教授,硕士生导师,主要研究方向:肿瘤免疫与中医药调控,E-mail:zhengchuan@cdutcm.edu.cn
  • 作者简介:吴昊,男,在读本科生
  • 基金资助:
    *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)

Discussion on the process of theorization of TCM based on “data feeding” model*

Wu Hao1, Wang Qian2, Liu Hong2, Yan Ran1,2, You Fengming1,2, Zheng Chuan#   

  1. 1 Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan 610072, China;
    2 Cancer Institute, Chengdu University of Traditional Chinese Medicine, Sichuan 610072, China
  • Received:2019-11-26 Published:2020-09-29
  • Contact: Associate Prof. Zheng Chuan, Ph.D. Master’s Supervisor. Affiliated Hospital of Chengdu University of Traditional Chinese Medicine. No. 39 Shierqiao Road, Chengdu 610072. E-mail: zhengchuan@cdutcm.edu.cn
  • Supported by:
    National Natural Science Foundation of China (No.81774284), National Natural Science Foundation for Young Scientists of China (No.81803994)

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。

关键词: 数据喂养, 治已病, 人工智能, 理论化, 中医

Abstract: 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.

Key words: data feeding, to treat a disease, artificial intelligence, theorization, TCM

中图分类号: 

  • R2-03