LI Mingzhu, CHEN Qianfeng, REN Zhaoying, et al. Traditional Chinese Medicine State Differentiation under Xiang (象) Thinking in Big Data Era[J]. Journal of Traditional Chinese Medicine2021, 62(10): 829-832.
LI Mingzhu, CHEN Qianfeng, REN Zhaoying, et al. Traditional Chinese Medicine State Differentiation under Xiang (象) Thinking in Big Data Era[J]. Journal of Traditional Chinese Medicine2021, 62(10): 829-832.DOI: 10.13288/j.11-2166/r.2021.10.001.
Traditional Chinese Medicine State Differentiation under Xiang (象) Thinking in Big Data Era
摘要
"象"在中医学中有着独特的价值
重视整体动态性、凸显相关性、强调经验性的象思维成为中医学重要的辨证思维模式。数据作为现代信息的载体
为"象"符号的现代表达提供了可能
而中医学借助以数据为形式的计算机语言
可突破既往形而上的研究范式。状态是不同物象的集合
围绕状态
基于象思维发展的中医状态辨识对接了大数据、人工智能等技术
形成"表征采集-状态评估-风险预警-方案干预-效果评价-反馈优化"闭环的中医健康管理关键技术
可为研究中医诊断客观化及证候定量化提供良好的范本。
Abstract
As "Xiang(象)" has an unique value in traditional Chinese medicine(TCM)
Xiang thinking has become an important state differentiation mode characterized by attaching importance to overall dynamics
highlighting relevance and emphasizing experience. As a carrier of modern information
"data" provides the possibility for the modern expression of "Xiang" symbols
and therefore TCM can break the past research paradigm of metaphysics with the aid of computer language in data form. The "state" is a collection of different objects. TCM state identification
which is based on the Xiang thinking and adopts the the big data
artificial intelligence and other technologies
has formed the key technical route in the closed loop of "data collection-state assessment-risk warning program implementation
evaluation
feedback and revision" system for TCM health management
providing a good model for the objectification and quantification of TCM diagnosis and syndrome qualification.
Extension and Application Strategy of Four Examinations of Traditional Chinese Medicine in Chronic Kidney Disease
Research Ideas and Challenge of Real World Study and Artificial Intelligence Based On Clinical Diagnosis and Treatment Data of Traditional Chinese Medicine
Artificial Intelligence and Chinese Medicine Intelligentization
An AI-Driven Research Pathway for Upholding Fundamental Principles and Breaking New Ground of Traditional Chinese Medicine Under the Guidance of Complexity Science
Construction and Clinical Validation of a Deep Learning-Based Automatic Measurement Model for Palmar Tilt and Radial Inclination in Distal Radius Fractures
Related Author
LIU Zhengxin
SONG Qin
HE Yining
YIN Xiaofan
QIAN Tianyang
HE Weiming
ZHAO Guozhen
GUO Shiqi
Related Institution
Affiliated Hospital of Nanjing University of Chinese Medicine,Jiangsu Province Hospital of Chinese Medicine
Institute of Basic Research in Clinical Medicine,China Academy of Chinese Medical Sciences
Beijing University of Chinese Medicine
School of Computer and Information Technology, Beijing Jiaotong University
Beijing Evidence-based Chinese Medicine Center, Beijing Traditional Chinese Medicine Hospital, Capital Medical University/ Beijing Institute of Chinese Medicine