中医基础理论的形式化、结构化表现及其等价数学表示的构建

Formalization, structural representation, and construction of equivalent mathematical expressions for basic theories of traditional Chinese medicine

  • 摘要:
    目的 构建中医基础理论的形式化、结构化及等价数学表示框架,并以桂枝汤证为例阐释辨证论治过程的数学表达。
    方法 本研究选取辨证属性和中药药性作为主要认知要素,对其进行符号化与量化;将量化后的辨证属性用于构建状态空间,并将中药的治疗作用抽象为状态校正作用算符;在 n 维欧氏空间中构建状态属性、序关系、个体化体质基线、状态转移及收敛表达,并采用桂枝汤证进行示意性计算。
    结果 建立了由 n 维状态空间 S 、个体化体质基线向量 B 、状态校正作用算符 O 、调和系数 \alpha 及配伍系数 \lambda _rs 等组成的数学表示框架,给出了一阶仿射状态转移方程以及包含非线性配伍项的广义状态转移方程。在示意性参数设定下,桂枝汤证的初始状态由 S _1=\left(2,\;2,\;-\;2,\;-\;2\right)^T 转换为 S _2=\left(0.8,\;0.4,\;-\;0.4,\;-\;0.8\right)^T ,健康指数 V 由4.00降至1.26,显示该状态向设定的健康平衡状态接近。
    结论 本研究所构建的框架能够为中医辨证论治中的证候状态、方药作用及状态变化提供统一、可描述且可计算的数学表达,可为中医基础理论的形式化研究及后续临床数据校准提供基础。

     

    Abstract:
    Objective  To construct a formalized, structured, and equivalent mathematical representation framework for the basic theories of traditional Chinese medicine (TCM), and to illustrate the mathematical expression of the Bianzheng Lunzhi (辨证论治, syndrome differentiation and treatment) process using the Guizhi Tang (桂枝汤) syndrome as an example.
    Methods  Bianzheng (辨证, syndrome differentiation) attributes and the properties of Chinese materia medica (CMM) were selected as the major cognitive elements and were symbolized and quantified. The quantified Bianzheng attributes were used to construct a state space, while the effects of CMMs were abstracted as state-correction operators. Within an n-dimensional Euclidean space, state attributes, ordering relations, a personalized constitutional baseline, state-transition expressions, and convergence expressions were constructed, and a schematic calculation based on Guizhi Tang syndrome was performed.
    Results  A mathematical representation framework comprising an n-dimensional state space S, a personalized constitutional baseline vector B, a state-correction operator O, a harmonization coefficient α, and compatibility coefficients λrs was established. A first-order affine state-transition equation and a generalized state-transition equation incorporating nonlinear compatibility terms were formulated. Under the schematic parameter settings, the initial state of the Guizhi Tang syndrome changed from S1 = (2, 2, − 2, − 2)T to S2 = (0.8, 0.4, − 0.4, − 0.8)T, while the health index V decreased from 4.00 to 1.26, indicating that the state approached the predefined healthy equilibrium.
    Conclusion  The framework developed in this study can provide a unified, describable, and computable mathematical representation of syndrome states, formula-related therapeutic actions, and state changes in the Bianzheng Lunzhi process. It may provide a foundation for the formal study of the basic theories of TCM and for subsequent calibration using clinical data.

     

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