基于聚类分析的银屑病中医证候研究

Study of Traditional Chinese Medicine-defined Signs of Psoriasis Based on Clustering Analysis

目的探讨银屑病中医证候分布特点及辨证分型规律。方法运用数据挖掘技术对255例银屑病患者症状体征及相关因素进行频数及聚类分析。结果证候聚类聚为七类,通过综合分析得出各类证型为:血热风盛证、阳虚证、血虚风燥证、血瘀肌肤证、肝肾阴虚证、热毒伤营证和湿热蕴毒证。结论将聚类分析引入银屑病中医证候的研究是可行的。

Objective To study the distributive features of signs of psoriasis defined in Traditional Chinese Medicine （TCM） and the law of TCM sign differentiation. Methods Data Mining methods （frequency analysis and clustering analysis） were used to analyze symptoms, signs and other relative factors of 255 patients with pso- riasis. Results Through comprehensive analysis, the signs were grouped into seven clusters as follows： blood-heat and wind-grand syndrome, yang deficiency syndrome, blood - deficiency and wind - dryness syn- drome, bloodstasis syndrome, liver-kidney yin deficiency syndrome, toxic heat damaging yin syndrome, and endoretention of damp toxin. Conclusion It is feasible to apply the cluster analysis for the study of TCM - defined signs of psoriasis.