中医杂志

从中医诊断过程入手，对中医辨证诊断的“非标准化”现象进行剖析，提出中医通过望、闻、问、切四诊采集的症状体征信息天然地存在一定模糊性，这种模糊性可以通过对大量、多维临床数据的分析比对和综合凝练（四诊合参）得以消减，从而实现中医从模糊性四诊数据到精确性诊断结论的升华。基于上述假设，进一步提出中医辨证智能化的研究思路，即以中医师临床思维能力为核心，借助以知识图谱可视化技术为基础的人工智能技术，融合以病机为纽带的“症状-病机-证候”复杂网络关联和推理方法，通过对大量、多维、模糊性临床数据的自动分析和推理过程，从而实现中医辨证诊断的智能化。

This paper analyzed the "non-standardization" phenomenon of syndrome differentiation in traditional Chinese medicine(TCM) from the diagnosis process. It is proposed that the symptoms and signs collected by the four examinations of inspection, listening/smelling, inquiry, and palpation naturally have a certain "ambiguity", which can be reduced by the comparison and comprehensive condensation(comprehensive analysis of the four examinations) of a large amount of multi-dimensional clinical data, thereby realizing the sublimation of TCM diagnosis from "ambiguity" of four examinations to "accuracy" of diagnostic conclusion. Based on the above assumptions, this paper further proposed a research idea of intelligent syndrome differentiation in TCM, that is, by taking the clinical thinking ability of TCM physicians as the core, adopting artificial intelligence technology based on knowledge graph visualization, integrating the complex network association and reasoning method of "symptom-pathogenesis-syndrome" linked by pathogenesis, and through the automatic analysis and reasoning process of a large amount of multi-dimensional and ambiguous clinical data, the intelligent TCM diagnosis based on syndrome differentiation can be realized.