Network differentiation: A computational method of pathogenesis diagnosis in traditional Chinese medicine based on systems science
Network differentiation: A computational method of pathogenesis diagnosis in traditional Chinese medicine based on systems science
复制标题
网络辨证：基于系统科学的中医病机诊断计算方法
DOI：
10.1016/j.artmed.2021.102134
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发表时间：
2021-07-17
影响因子：
7.5
通讯作者：
Li, Wei-Hong
中科院分区：
文献类型：
--
作者：
Xu, Qiang;Guo, Qiang;Li, Wei-Hong
与西医疾病诊断的作用类似，病机诊断是中医最重要的任务之一。在中医理论中，病机是由一组相互关联的因素组成的复杂系统，这与系统科学（SS）的性质高度一致。在本文中，我们引入了一种称为发病网络（PN）的启发式定义，以有向图的形式表示发病机制。因此，通过整合SS中的整体原理，提出了一种称为网络微分（ND）的发病机制诊断计算方法。 ND由三个阶段组成。第一阶段是根据与输入症状相对应的指定先验知识进行笛卡尔积运算，生成所有可能的诊断。第二阶段是根据整体原则筛选经过验证的诊断。第三阶段是通过医机交互挑选临床诊断。为了进一步优化ND，本文阐述并证明了一些定理。我们对100个临床病例进行了模拟实验。实验结果表明，我们提出的方法具有良好的契合医生推理过程中整体思维的能力。
Resembling the role of disease diagnosis in Western medicine, pathogenesis (also called Bing Ji) diagnosis is one of the utmost important tasks in traditional Chinese medicine (TCM). In TCM theory, pathogenesis is a complex system composed of a group of interrelated factors, which is highly consistent with the character of systems science (SS). In this paper, we introduce a heuristic definition called pathogenesis network (PN) to represent pathogenesis in the form of the directed graph. Accordingly, a computational method of pathogenesis diagnosis, called network differentiation (ND), is proposed by integrating the holism principle in SS. ND consists of three stages. The first stage is to generate all possible diagnoses by Cartesian Product operated on specified prior knowledge corresponding to the input symptoms. The second stage is to screen the validated diagnoses by holism principle. The third stage is to pick out the clinical diagnosis by physician-computer interaction. Some theorems are stated and proved for the further optimization of ND in this paper. We conducted simulation experiments on 100 clinical cases. The experimental results show that our proposed method has an excellent capability to fit the holistic thinking in the process of physician inference.