中医杂志

基于程序化与流程化思维，整合中医经典理论与现代知识表达技术，构建以“症状聚类-主症筛选-方剂适配”为核心的“方-症”辨证思维模型，探索中医辨证论治的标准化与智能化路径。通过方剂与证候映射关系建模（含君、臣、佐、使量化权重分析）、方症决策树逻辑分层设计（三级决策树与模糊逻辑应用）及四诊路径流程化设计（结构化采集、关联模型、动态修正机制），实现辨证过程的标准化与可视化。该模型可转化为人工智能训练核心数据集，通过三元知识图谱与机器学习算法，提升辨证可重复性与诊疗效率，并实现“群体模型+个体微调”策略以平衡量化与个体化之间的冲突。该模型核心的价值在于通过传统辨证思维与现代系统科学的融合，推动中医辨证论治的客观化与精准化发展。

Based on the thinking of programmatization and proceduralization, this study integrated traditional Chinese medicine(TCM) classic theories with modern knowledge expression technologies to construct a "formulasymptom" syndrome differentiation thinking model centered on "symptom clustering-main syndrome screening-formula adaptation", and explored the standardization and intelligentization path of TCM syndrome differentiation and treatment. By establishing the mapping relationship model between formulas and syndromes including quantitative weight analysis of chief, deputy, assistant and envoy medicines, designing the logical hierarchical structure of formulasyndrome decision tree(application of three-level decision tree and fuzzy logic), and formulating the procedural design of four diagnostic methods(structured collection, correlation model, and dynamic correction mechanism), the standardization and visualization of the syndrome differentiation process are realized. This model can be transformed into the core data set for artificial intelligence training. Through ternary knowledge graph and machine learning algorithms, it can improve the repeatability of syndrome differentiation and the efficiency of diagnosis and treatment, and implement the strategy of "group model + individual modification" to balance the conflict between quantification and individualization. The core value of this model lies in promoting the objectification and precision development of TCM syndrome differentiation and treatment through the integration of traditional syndrome differentiation thinking and modern system science.