杨秉秀教授治疗PCOS用药规律数据挖掘研究

Research on Data Mining of Medication Rule of Professor Yang bingxiu in Treating PCOS

目的:基于数据挖掘探究杨秉秀教授治疗多囊卵巢综合征(PCOS)的临床用药规律。方法:选择杨秉秀教授诊治的266例PCOS患者的处方资料,运用SPSS 21.0软件对中药的使用频次、药类频数及频率、聚类规则进行分析。结果:与杨秉秀教授临床认为该病以肾虚为本,血瘀、痰湿为主要病理产物,治疗上以补肾活血为主,辅以理气祛痰的学术观点一致。结论:运用数据挖掘可以总结杨秉秀教授治疗PCOS的用药经验,为治疗本病提供思路。

Objective:Research on the clinical medication rule of Professor Yang bingxiu in the treatment of polycystic ovarian syndrome(PCOS)based on Data Mining.Methods:266 cases of PCOS diagnosed and treated by Professor Yang bingxiu were selected,and spss-21 was used to analyze the frequency of using traditional Chinese medicine,the frequency and clustering rules of drugs.Results:It is consistent with Professor Yang bingxiu’s academic view that the disease is based on kidney deficiency,blood stasis and phlegm dampness are the main pathological products,and the treatment is mainly to invigorate the kidney and activate blood,supplemented by regulating qi and eliminating phlegm.Conclusion:Data mining can summarize Professor Yang bingxiu’s experience in treating PCOS and provide ideas for the treatment of PCOS.