目的 应用中医传承辅助系统软件分析黄春林教授治疗痛风用药规律.方法 收集2015年11月～2016年12月广东省中医院黄春林教授门诊就诊的72例痛风患者及中药处方256首,录入“中医传承辅助平台”系统,采用系统中的关联规则、改进互信息法、复杂系统熵聚类等无监督数据挖掘方法,总结黄教授治疗痛风的常用药物,分析方剂中的组方规律.结果 对纳入的72例痛风患者,256张处方进行分析,确定处方中药物的使用频次,药物间的关联,挖掘黄春林教授治疗痛风的基本方及“车前草、土茯苓、苍术、黄柏”等8首新处方.结论 黄春林教授以清热利湿、化痰通络、补益肝肾为基本治法,选用薏苡仁、黄柏、牛膝、土茯苓、山药、苍术、黄芪、生地黄等辨病辨证相结合,治疗痛风经验丰富,中医传承辅助系统对名老中医经验的传承、临床医师经验的总结和中药新药的发现将起到非常重要的辅助作用.%Objective To analyze medication rule of Professor Huang Chunlin in the treatment of hyperuricemia with traditional Chinese medicine inheritance assistant system software.Methods 72 cases of gout and prescription 256 treated by Professor Huang Chunlin in Guangdong Province Traditional Chinese Medical Hospital during the period from November 2015 to December 2016 were input onto "TCM Inheritance Assistance Platform".The drug used characteristics and prescription-formulating principle of Professor Huang Chunlin in the treatment of gout were summarized by the unsupervised data mining method of association rules,improved mutual information method,complex system entropy clustering.Results A total of 256 prescriptions were analyzed for 72 patients with gout enrolled in the study.The frequency of drug use and the association between drugs were determined.The basic prescriptions and 8 new prescriptions including plantago asiatica,smilax glabra,rhizoma atractylodis,cortex phellodendri and etc.for the treatment of gout of Professor Huang Chunlin were excavated.Conclusion Clearing away heat and promoting diuresis,eliminating phlegm and freeing channels,tonifying the liver and kidney as the basic treatment,Professor Huang Chunlin selected coix seed,cortex phellodendri,achyranthes bidentata,smilax glabra,rhizoma atractylodis,radix astragali,radix rehmanniae and other Chinese herbs to treat patients with the integration of syndrome identifying and disease diagnosing.The traditional Chinese medicine inheritance assistance system will play a very important auxiliary role in inheriting the experience of famous TCM doctor,summarizing the experience of clinicians and finding new drugs of traditional Chinese medicine.
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