摘要
目的:以《国家中成药标准汇编—内科脾胃分册》为研究对象,对所包含的167首中成药处方开展数据分析和挖掘,提取其中的高频药物、高频药对和高频药组,探寻其中的用药规律和关联规则,为研制新药处方提供指导和依据。方法:采用频数分析提取高频单味药和高频药对,采用改进的关联规则挖掘算法Apriori Tid提取关联规则。结果:在内科脾胃中成药中,提取出现频次最高的10味单味药和8个高频药对,其中排名前三的单味药分别是木香、陈皮和甘草,出现频率最高的药对是木香和陈皮;采用Apriori Tid算法,在最小支持度计数为10,最小置信度为0.6时,提取到10个二项关联规则和4个三项关联规则。结论:在内科脾胃中成药中,核心药物包括木香、陈皮、甘草、砂仁和茯苓,且经常作为药组同时出现,它们均具有健脾行气之功效,配伍使用效果更佳。
Objective: To analyze and handle the 167 prescriptions data of Traditional Chinese Medicine Patent Prescription in The National Standard Compilation-Trazlitional Chinese Medicine Patent Prescriptions of Internal Spleen cawl Stomach Medicines, to extract high-frequency single drugs, high-frequency couplet drugs and high-frequency drug groups, and to provide guidance for the development of new drugs prescription by these medication regularities and association rules. Methods: The high frequency single drugs and high-frequency cou- plet drugs are extracted by frequency analysis, and the AprioriTid algorithm which is an improved association rules mining algorithm is used to explore the association rules. Results 10 most used single drugs and eight most used couplet drugs are extracted. The top three single drugs are Muxiang (Aucklandia lappa Decne.), Chen- pi (Pericarpium Citri reticulatae) and Gancao (Radix liquiritiae), and the most fi'equently used couplet drug is Muxiang (Aucklandia lappa Decne.) and Gancao (Radix liquiritiae). When the minimum support count is 10 and the minimum confidence is 0.6, and 10 association rules for two items and 4 association rules for three items are extracted by the AprioriTid algorithm. Conclusion: In the traditional Chinese medicine patent prescriptions of internal spleen and stomach medicines, the core drugs are Muxiang (Aucklandia lappa Decne.), Chenpi (Peri- carpium Citri reticulatae), Gancao (Radix liquiritiae), Sharen (Amomum villosum Lout.) and Fuling (Poria cocos). These drugs often appear as drug groups, they are all good for the spleen and stomach, and have a better effect when used together.
出处
《中医药导报》
2017年第23期54-56,共3页
Guiding Journal of Traditional Chinese Medicine and Pharmacy
基金
湖南中医药大学青年教师科研基金课题(99820001-222)
湖南省教育厅科学研究项目(16C1201)
关键词
内科
脾胃病
中成药
数据挖掘
关联规则
用药规律
department of medicine
spleen and stomach disease
Traditional Chinese Medicine Patent Pre-scription
data mining
association rules
medication regularities