摘要
应用关联规则分析技术 ,对治疗消渴病的中药复方配伍的科学内涵进行探索性分析研究。以文献中收录的 10 6个治疗消渴病的中药复方为对象 ,经解析后建立复方特征数据库 ;以数据挖掘系统EnterpriseMiner为平台 ,关联规则分析为工具 ,在单味药层次上进行消渴病复方组成药味之间的关联模式研究。在中医用药的不同组合层次上 ,不同专家在针对不同症状的治疗方法与对消渴病的认识和治疗原则基本一致。治疗消渴病复方在配伍方面确有一定的科学规律存在 ,数据挖掘技术作为知识获取的有力工具 ,可以将隐含在数据中的配伍规律以可理解方式进行表述 。
A pilot study of the scientific meaning of the composition of TCM formulas for treating diabetes was carried out by the association rule analysis technique. 106 Formulas in the TCM literature were collected and the database was established after analyzing the formulas; the association mode of ingredients in the formulas was studied on the platform of SAS's Enterprise Miner by the use of the association rule analysis. The results showed that as far as the drugs used in combination for treating diabetes was concerned, different experts have similar ideas and principles for treating diabetes. The results indicate that there is a certain scientific rule in the composition of the TCM formulas for treating diabetes; the data mining as a kind of powerful tool for acquiring knowledge may express the composition rule of the TCM formulas in an understandable way, and provide technical supports for the modernization of traditional Chinese drugs.
出处
《北京中医药大学学报》
CAS
CSCD
北大核心
2002年第6期48-50,共3页
Journal of Beijing University of Traditional Chinese Medicine
基金
北京中医药大学科研基金资助
关键词
消渴病
复方
配伍规律
关联规则
Diabetes
TCM Formula
Rule of Composition of TCM Formulas
Data Mining
Association Rule
