基于数据挖掘探讨黎烈荣教授治疗原发性痛经用药规律
发布时间：2018-08-15 12:26
【摘要】：原发性痛经是育龄期女性的常见病、多发病,属于妇科急症范畴,严重者可影响女性的学习、生活和工作。黎烈荣教授为湖北中医药大学中医妇科学教授,湖北省中医院中医妇科主任医师,从事中医临床四十余年,具有丰富的临证经验,对于原发性痛经的治疗有独到经验。目的本研究采用熵聚类等的数据挖掘方法,对黎烈荣教授治疗原发性痛经的用药规律进行初步探讨,以分析其临床辨治特色。方法所有病例均来自2015年12月1日到2016年12月31日就诊于湖北省中医院黎烈荣教授妇科门诊的原发性痛经患者,共42例,126次就诊。将126首方剂录入“中医传承辅助平台(V2.5)”系统,通过系统中的数据分析模块,基于“关联规则”、“熵聚类算法”及“改进的互信息法”等算法,对数据进行用药频次分析及用药规律分析等。结果本研究中,符合标准的126首处方中,涉及中药25味,所有药物出现的频次总和为1711次,频次≥10的药物分别是:当归、小茴香、白芍、肉桂、延胡索、香附、乌药、桂枝、炙甘草、川芎、枸杞子、巴戟天、炒白术、蒲黄、细辛、炙黄芪、法半夏、人参、丹参、菟丝子。药物四气以温性平性为主,五味以辛甘为主。药物归经以肝、脾、心、肾为主。对于经期用药得到4个核心组合:1.乌药-川芎-枸杞子;2.白芍-炒白术-炙甘草;3.巴戟天-法半夏-细辛;4.小茴香-炙甘草-炙黄芪。再将提取的核心组合,进一步经过无监督的熵层次聚类分析,得出2个新方,分别是:1.乌药-川芎-枸杞子-巴戟天-法半夏-细辛;2.白芍-炒白术-炙甘草-小茴香-炙黄芪。经后期用药得到6个核心组合,1.蒲黄-菟丝子-续断;2.炒白术-小茴香-人参;3.巴戟天-小茴香-续断;4.川芎-蒲黄-菟丝子-丹参;5.乌药-炒白术-肉桂-续断;6.巴戟天-小茴香-人参。再将提取的核心组合,进一步经过无监督的熵层次聚类分析,得出3个新方,分别是:1.蒲黄-菟丝子-续断-川芎-丹参;2.炒白术-小茴香-人参-乌药-肉桂-续断;3.巴戟天-小茴香-续断-人参。对于经前期用药,得到4个核心组合:1.延胡索-蒲黄-炒白术;2.延胡索-炒白术-巴戟天;3.蒲黄-炒白术-补骨脂;4.炒白术-巴戟天-枸杞子-补骨脂。再将提取的核心组合,进一步经过无监督的熵层次聚类分析,得出2个新方,分别是:1.延胡索-蒲黄-炒白术-补骨脂;2.延胡索-炒白术-巴戟天-枸杞子-补骨脂。结论通过“中医传承辅助平台(V2.5)”软件的统计分析,归纳总结黎烈荣教授治疗原发性痛经的辨治特点。原发性痛经的病机为“不通则痛”或“不荣则痛”,虽有虚、实之别,然临床常相兼出现,表现脾肾不足为本,气滞寒凝血瘀为标。治疗兼顾虚实、通补并用,提倡温性药物的运用,注重顺应月经生理的分期治疗,特别重视非经期调治,同时指导患者经期摄生。
[Abstract]:Primary dysmenorrhea is a common disease in women of childbearing age. Professor Li Lirong is professor of traditional Chinese medicine gynecology of Hubei University of traditional Chinese Medicine and chief physician of traditional Chinese medicine gynecology of Hubei traditional Chinese Medicine Hospital. He has been engaged in TCM clinic for more than 40 years and has rich clinical experience and unique experience in the treatment of primary dysmenorrhea. Objective to explore the rule of treating primary dysmenorrhea by using entropy clustering data mining method, and to analyze the clinical characteristics of treating dysmenorrhea. Methods from December 1, 2015 to December 31, 2016, all patients with primary dysmenorrhea were admitted to the Department of Gynecology of Hubei Provincial traditional Chinese Medicine Hospital. There were 42 patients with dysmenorrhea and 126 visits. In this paper, 126 prescriptions are inputted into the system of "Chinese Medicine inheritance and Assistance platform (V2.5)". Through the data analysis module of the system, based on the algorithms of "association rules", "entropy clustering algorithm" and "improved mutual information method", etc. The frequency and regularity of drug use were analyzed. Results among the 126 prescriptions in this study, 25 herbs were involved. The total frequency of all drugs was 1711. The drugs with frequency 鈮，
本文编号：2184195
[Abstract]:Primary dysmenorrhea is a common disease in women of childbearing age. Professor Li Lirong is professor of traditional Chinese medicine gynecology of Hubei University of traditional Chinese Medicine and chief physician of traditional Chinese medicine gynecology of Hubei traditional Chinese Medicine Hospital. He has been engaged in TCM clinic for more than 40 years and has rich clinical experience and unique experience in the treatment of primary dysmenorrhea. Objective to explore the rule of treating primary dysmenorrhea by using entropy clustering data mining method, and to analyze the clinical characteristics of treating dysmenorrhea. Methods from December 1, 2015 to December 31, 2016, all patients with primary dysmenorrhea were admitted to the Department of Gynecology of Hubei Provincial traditional Chinese Medicine Hospital. There were 42 patients with dysmenorrhea and 126 visits. In this paper, 126 prescriptions are inputted into the system of "Chinese Medicine inheritance and Assistance platform (V2.5)". Through the data analysis module of the system, based on the algorithms of "association rules", "entropy clustering algorithm" and "improved mutual information method", etc. The frequency and regularity of drug use were analyzed. Results among the 126 prescriptions in this study, 25 herbs were involved. The total frequency of all drugs was 1711. The drugs with frequency 鈮，
本文编号：2184195
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