Research on Traditional Chinese Medicine Professor Niu Jianzhao's Medication Rule in Prescriptions with Climacteric Syndrome Based on Data Mining
10.11842/wst.2017.10.016
- VernacularTitle:基于数据挖掘的牛建昭教授治疗更年期综合征用药规律研究
- Author:
Xiting WANG
1
;
Yi LIU
;
Lan ZHANG
;
Yu LI
Author Information
1. 北京中医药大学中医学院 北京100029
- Keywords:
Climacteric syndrome;
prescription rule;
data mining;
association rules;
clustering algorithm
- From:
World Science and Technology-Modernization of Traditional Chinese Medicine
2017;19(10):1680-1686
- CountryChina
- Language:Chinese
-
Abstract:
This study was aimed to explore traditional Chinese medicine (TCM) professor Niu Jianzhao's medication rule in prescription with climacteric syndrome.Prescriptions treating climacteric syndrome that built by professor Niu were collected to build a database based on TCM Inheritance Assist System.The method of association rules with apriori algorithm was used to achieve frequency of single medicine,nature,taste and channel tropism of herbs,frequency of drug combination,association rules between herbs and core herb combinations.The data mining results showed 22 types of herbs used with high frequency,28 pairs of herb combination with most frequency,20 groups of herb association rules with the confidence of more than 0.95,52 herb pairs with high association,32 groups of three herbs as the core combinations,and 7 new prescriptions.It was concluded that in professor Niu Jianzhao's treatment of climacteric syndrome,the drugs were commonly used to invigorate the kidney,liver and spleen,and in combination with promoting blood circulation and calming the nerves.The medicinal properties of used herbs were even,warm or slightly cold.The tastes of used herbs were sweet,bitter and spicy.The channel tropisms of used herbs were the liver,kidney and lung meridian.This study highlighted data mining as an important tool for expedited analysis of TCM professor Niu Jianzhao's medication rules in prescriptions with climacteric syndrome.
