胃脘痛证候的聚类分析及因子分析研究

目的 采用聚类分析及因子分析的数据挖掘方法,对胃脘痛的中医临床证候及四诊信息进行研究。方法 收集640例755诊次胃脘痛病例,记录症状、舌象和脉象等临床资料,对临床资料进行聚类分析及因子分析。结果 胃脘痛临床证候可分为六类:脾胃虚寒、肝气犯胃、湿热中阻、脾胃气虚、痰湿内蕴、瘀血停胃，每一类证候对应贡献率不同的特异的四诊信息。结论 胃脘痛有特异的证候分类及四诊信息，通过数据挖掘方法深入研究，对胃脘痛的规范化诊断提供了有效的数据支持，能提高辨证准确性。

Study on Syndromes of Epigastric Pain by Cluster Analysis and Factor Analysis

Objective To study the traditional Chinese medicine (TCM) syndromes of epigastric pain and their information acquired by four TCM diagnostic methods by data mining (cluster analysis and factor analysis). Methods The clinical data (symptoms, tongue picture, pulse condition, etc.) of 640 epigastric pain cases (755 visits) were recorded and subject to cluster analysis and factor analysis. Results The TCM syndromes of epigastric pain could be classified into deficient cold of the spleen and stomach, liver qi invading the stomach, obstruction of middle jiao by damp heat, deficiency of spleen qi and stomach qi, phlegm damp retention, and blood stasis of the stomach. Each syndrome corresponded to specific information acquired by four TCM diagnostic methods. Conclusion Epigastric pain has different syndrome types with specific information acquired by four TCM diagnostic methods. Cluster analysis and factor analysis can provide effective data support for standardized diagnosis of epigastric pain and improve the accuracy of syndrome differentiation.