摘要
该文以数据挖掘研究和比较腹痛、头痛、胃脘痛、胁痛、心痛、腰痛6种疼痛病方剂的用药规律,以期为相关中药配伍机制研究和中药新复方开发提供参考。通过收集、整理《中医方剂大辞典》中治疗6种疼痛病的方剂共2 443首,利用Apriori关联规则算法,以置信度、提升度、支持度为指标对方剂进行数据挖掘,研究治疗不同类型疼痛的核心中药及其配伍规律。研究结果显示,各类疼痛病治疗中常用补虚药(如甘草、当归)、理气药(如木香)和活血化瘀药(如川芎),但针对不同疼痛病的用药存在一定程度的差异,如腹痛、胃脘痛中厚朴的使用频次较高,头痛中防风的使用频次较高。治疗腹痛提升度较大的潜在规则为红花→当归等,而头痛中则为黄芪→甘草等,胃脘痛中则为麦芽→陈皮等,胁痛中则为龙胆→柴胡等,腰痛中则为丁香→麝香等。研究结果显示,通过应用数据挖掘方法对6种疼痛病方剂组成进行对比研究,能有效地反映6种疼痛病用药规律的异同,并能发现潜在的中药配伍规律。
To study and compare the medication regularities of traditional Chinese medicine formulas(TCMFs)for the six kinds of pains,namely abdominal pain,headache,epigastric pain,hypochondriac pain,heartache and backache,using a data-mining approach,in order to provide reference for relevant studies for the compatibility mechanism and new compound development of related TCMFs.A total of 2 443 TCMFs for pains were collected from the Dictionary of Chinese Medicine Prescriptions,and analyzed using the Apriori algorithm based on three indicators,namely confidence,lift and support,so as to study pivotal traditional Chinese medicines(TCMs)for each pain and their compatibility regularities.The results showed that deficiency tonifying medicines(such as Glycyrrhizae Radix et Rhizoma and Angelicae Sinensis Radix),Qi-regulating medicines(like Aucklandiae Radix)and blood circulation promoting medicines(like Chuanxiong Rhizoma)were commonly used TCMs for pains.However,there were many differences between drugs for various kinds of pains.For example,Magnoliae Officinalis Cortex was used frequently for abdominal pain and epigastric pain,while Saposhnikoviae Radix was used frequently for headache.The latent association rules with significant lift included Carthami Flos→Angelicae Sinensis Radix for abdominal pain,Astragali Radix→Glycyrrhizae Radix et Rhizoma for headache,Hordei Fructus Germinatus→Citri Reticulatae Pericarpium for epigastric pain,Gentianae Radix et Rhizoma→Bupleuri Radix for hypochondriac pain,and Caryophylli Flos→Moschus for backache.This study showed that based on the TCMFs from the Dictionary of Chinese Medicine Prescriptions,the data-mining approach can reveal the differences and similarities in the use of TCMs for the six kinds of pains,and discover the latent composition regularities of relevant TCMs.
作者
孙梅
闵丽
孙瑶
方金阳
严斌俊
SUN Mei;MIN Li;SUN Yao;FANG Jin-yang;YAN Bin-jun(College of Pharmaceutical Science,Zhejiang Chinese Medical University,Hangzhou 310053,China)
出处
《中国中药杂志》
CAS
CSCD
北大核心
2019年第8期1682-1688,共7页
China Journal of Chinese Materia Medica
基金
浙江省科技厅公益技术项目(LGF19H280005)
国家自然科学基金项目(81703462)
中国博士后科学基金面上项目(2018M642495)
关键词
腹痛
头痛
胃脘痛
胁痛
心痛
腰痛
数据挖掘
用药规律
abdominal pain
headache
epigastric pain
hypochondriac pain
heartache
backache
data-mining
composition regularities
