约束隐结构研究冠心病痰湿证的定量化辨证规则

Based on Constraint Latent Structure to Study Quantitative Diagnosis Rules of Coronary Heart Disease with Phlegm Dampness Syndromes

目前在中医界已发布的冠心病痰湿证辨证标准是以主症、次症形式定性地给出,存在主观性较强的问题。本文引入约束隐结构分析,该方法将主症、次症的语义作为约束条件加入隐结构分析过程,得到含有主症、次症语义约束的定量化中医证候辨证规则。使用该方法对冠心病痰湿证患者556条无标签数据的分析,得到其约束隐结构模型,最后建立定量化痰湿证辨证规则,舌胖边有齿痕(3.16)、苔腻(3.12)、苔白滑(4.72)、胸闷(1.73)、脉濡或滑(6.04);次症:肢体困重(0.48)、口黏(0.63)、体胖(0.49)、大便粘滞(1.38)、脘腹痞满(0.97)、面色晦浊(0.79)、嗜睡(1.18)、纳差(1.07)。与经典隐结构模型得到规则和中医界已发布的定性化辨证规则相比,约束隐结构得到的规则客观性强,具有可重复性。在证候类大小、规则的量化合理度上较好地反映了主症、次症的特点,得到的规则切合中医实际,为冠心病痰湿证辨证标准的定量化研究提供帮助和参考。

The current TCM syndrome diagnosis rules are qualitatively given in the form of major and secondary syndromes, which are highly subjective. This paper introduced the method of implicit structure analysis of constraints,which takes the semantics of major and secondary syndromes as constraints and adds the process of implicit structure analysis to obtain quantitative TCM syndrome diagnosis rules containing the semantic constraints of major and secondary syndromes. Through the analysis of 556 unlabeled data of the patients with phlegm-dampness syndrome of coronary heart disease, the restrained latent structure model was obtained, and finally the quantitative rules of phlegm-dampness syndrome diagnosis were established. The diagnosis rules as follows: Teeth marks on fat tongue(3.16), greasy fur coating(3.12), white slippery fur coating(4.72), chest tightness(1.73), moistening or slippery pulse(6.04);Secondary symptoms:heavy body(0.48), greasy mouth(0.63), fat body(0.49), stool adhesion(1.38), gastral cavity abdomen ruffian(0.97),cloudy complexion(0.79), drowsiness(1.18), poor appetite(1.07). With the general rules of latent structure model was compared with the existing qualitative rules of syndrome diagnosis, constraint latent structure method to get the rules of objectivity is strong, and the rules of syndrome type of size, the quantitative degree of reasonably well reflects the characteristics of the primary symptom. Thus, the obtained rules are more practical. This study can offer help and reference to study the syndromes diagnosis standard quantitative of phlegm dampness in coronary heart disease.