基于Apriori算法的中药气-味-效三维数据关联规则挖掘研究

A study of association rules in three-dimensional property-taste-effect data of Chinese herbal medicines based on Apriori algorithm

中药四气五味理论是在阴阳五行哲学思想指导下,根据药物作用于机体后的生物学表现建立起来的药性核心理论,与药物的具体功效密不可分。本研究以经典中医学著作《神农本草经》中的365味中药性味及药效记载为数据源,在建立气-味-效三维数据立方体的基础上,运用关联规则挖掘中的Apriori算法,寻找气-味-效三者之间的频繁模式和强关联规则并进行分析,尝试理清中药四气五味与具体功效的复杂相关性,为中药四气五味药性理论研究提供新方法和新思路。

The theory of four properties（Qi）and five tastes（Wei）is the core of the property theory of Chinese materia medica.It is known that Qi and Wei are associated with the pharmacological effects（Xiao）of herbs.This study took records of all 365 Chinese herbs in Shennong＇s Classic of Materia Medica（Shennong Ben Cao Jing）as the data resource and established a three-dimensional data cube,in the purpose of finding out and analyzing the frequent patterns and valued association rules of Qi,Wei and Xiao based on Apriori algorithm.The results of this study may give rise to innovative ideas and methods in research of traditional Chinese materia medica.