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

Wu Hao; Wang Qian; Liu Hong; Yan Ran; You Fengming; Zheng Chuan

doi:10.3969/j.issn.1006-2157.2020.09.003

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

更新时间：2021-05-20

- Discussion on the process of theorization of TCM based on “data feeding” model
- Journal of Beijing University of traditional Chinese Medicine Vol. 43, Issue 9, Pages: 718-722(2020)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1006-2157.2020.09.003
  CLC： R2-03
- Published：30 September 2020
- 稿件说明：
移动端阅览
Wu Hao, Wang Qian, Liu Hong, et al. Discussion on the process of theorization of TCM based on “data feeding” model[J]. Journal of Beijing University of traditional Chinese Medicine, 2020, 43(9): 718-722.
DOI：

Wu Hao, Wang Qian, Liu Hong, et al. Discussion on the process of theorization of TCM based on “data feeding” model[J]. Journal of Beijing University of traditional Chinese Medicine, 2020, 43(9): 718-722. DOI： 10.3969/j.issn.1006-2157.2020.09.003.

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。

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.

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