摘要
目的:应用数据挖掘技术,对中医9种体质药膳用药规律进行探索与总结,为现代社会环境下9种体质药膳方的组成提供参考。方法:利用电子数据库及书籍,查阅古籍、现代文献中关于中医体质的内容及其食疗药膳,筛选、整理并建立9种体质药膳数据库,再采用频数统计等方法,最终归纳出中医9种体质药膳的用药规律。结果:中医9种体质药膳数据库共包含579个药膳方,来源于古籍及近、现代书籍,共涉及96部;药膳组成数量统计组成推荐5种材料(3味中药加2种食材);应用频率最高的功效类别是补益药,应用频率最高的3种药材是大枣、枸杞、当归。结论:中医9种体质药膳的用药有规律可循,可以为现代社会环境下9种体质药膳方的组成提供参考。
Objective:Using data mining technologies to explore and summarized the rules of nine kinds of traditional Chinese medicine(TCM)for constitutional medicated diets,and provid a reference for the composition of nine kinds of TCM constitutional medicated diets under the modern society background.Methods:Using the database and books,we collected the literatures of ancient or modern about TCM constitution and medicated diet.Screened,sorted and established a database.Counted the frequency of drugs in all medicated diet,finally concluded the rules of nine kinds of TCM constitutional medicated diet.Results:Database including 579 medicated diets,which from 96 ancient and modern books.5 kinds of materials were recommended for the composition of medicated diets(3 drugs and 2 ingredients);Tonic drugs are the highest frequently used drug categories.Dazao(Fructus Ziziphi Jujubae),Gouqi(Lycium sinensis Mill)and Danggui(Angelica sinensis)are the 3 kinds of medicinal herbs with the highest frequency in the core drugs.Conclusion:We found the rules of nine kinds of TCM constitutional medicated diets.It can provide a reference for the composition of nine kinds of TCM constitutional medicated diets under the modern society background.
作者
杨睿
李萍
文小平
张伟
陈华
齐佳龙
YANG Rui;LI Ping;WEN Xiao-ping;ZHANG Wei;CHEN Hua;QI Jia-long(Guangming Traditional Chinese Medicine Hospital,Pudong New Area,Shanghai 201399,China;Shanghai University of Traditional Chinese Medicine,Shanghai 201203,China)
出处
《中医药导报》
2019年第11期38-41,58,共5页
Guiding Journal of Traditional Chinese Medicine and Pharmacy
基金
浦东新区中医药研发与创新专项(PDZYYFCX-201707),项目名称:基于9种体质的系列药膳研究与开发
关键词
数据挖掘
中医体质
药膳
data mining
constitution of traditional Chinese medicine
medicinal diet