中医药导报2017，Vol.23Issue(21)：39-42,4.
王小云辨治妇科痛证用药规律的数据挖掘
A Data Mining Research on Herbal Administration Regularity of Professors WANG Xiao-yun's Experience for Gynecologic Pain Syndrome
摘要
Abstract
Objective:To study the herbal administration regularity of Professors WANG Xiao-yun's experience for treating gynecologic pain syndrome.Methods:Between December 2013 and March 2016,a total of 316 traditional Chinese medicine (TCM) prescriptions for 137 patients with gynecologic pain syndrome prescribed by Professor WANG Xiao-yun from the Gynecology Outpatient Clinic were included.The prescription and medication knowledge base including property,flavor,channel tropism,efficacy,and indications for TCM,as well as TCM syndrome of gynecologic pain syndrome,was constructed.This knowledge base was aided by the literature ontology knowledge construction and mining services provided by the TCM data service platform.A multi-dimensional,multi-lewd association analysis was carried out using frequent item set and topic model mining,and combining the domain knowledge.Results:The most common TCM syndromes seen in the gynecologic pain syndrome were Qi stagnancy and blood stasis,phlegm-damp and blood stasis,cold coagulation and blood stasis,stagnant dampness-heat and kidney deficiency and blood stasis syndrome.The prescription includes 6 to 9 herbs.Conclusion:Qi stagnation,blood stasis,and cold were the most common causes of gynecologic pain syndrome.Pain caused by stagnation was the major pathogenesis.The basic principles used by Professor WANG Xiao-yun on treating gynecologic pain syndrome were regulating Qi stagnancy,activating blood circulatiou.warming Yang and dispelling the cold.关键词
王小云/名医传承/数据挖掘/妇科痛证Key words
WANG Xiao-yun/inheritance of famous doctors/data mining/gynecologic pain syndrome分类
医药卫生引用本文复制引用
叶润英,翁衡,王华菊,王小云..王小云辨治妇科痛证用药规律的数据挖掘[J].中医药导报,2017,23(21):39-42,4.基金项目
广东省科学技术厅资助项目(2014A020221039),项目名称:面向传承发展中医药古籍文献本体知识库服务平台 （2014A020221039）
