漳州师范学院学报(自然科学版)
漳州師範學院學報(自然科學版)
장주사범학원학보(자연과학판)
JOURNAL OF ZHANGZHOU TEACHERS COLLEGE(NATURAL SCIENCE EDITION)
2012年
4期
11-14
,共4页
最大频繁all-confidence模式%方剂%药物模式%组配规律
最大頻繁all-confidence模式%方劑%藥物模式%組配規律
최대빈번all-confidence모식%방제%약물모식%조배규률
maximal frequent all-confidence pattern%prescription%drug patterns%laws of the composition
方剂配伍规律研究是方剂学难点和重点课题之一.利用 all-confidence 度量,挖掘最大频繁all-confidence 模式.提出基于最大频繁 all-confidence 模式的二次挖掘方法,挖掘药物模式之间的组配规则,从而探寻药物模式之间的组配规律,辅助方剂配伍规律研究,并为临床组方提供规则参考.首先给出最大频繁all-confidence模式等相关的概念,其次给出基于最大频繁all-confidence模式的二次挖掘方法,最后在方剂数据库上进行实验,实验结果表明基于最大频繁 all-confidence 模式的二次挖掘能有效挖掘大量药物模式之间的组配规则,有利于药物模式之间组配规律的探寻.
方劑配伍規律研究是方劑學難點和重點課題之一.利用 all-confidence 度量,挖掘最大頻繁all-confidence 模式.提齣基于最大頻繁 all-confidence 模式的二次挖掘方法,挖掘藥物模式之間的組配規則,從而探尋藥物模式之間的組配規律,輔助方劑配伍規律研究,併為臨床組方提供規則參攷.首先給齣最大頻繁all-confidence模式等相關的概唸,其次給齣基于最大頻繁all-confidence模式的二次挖掘方法,最後在方劑數據庫上進行實驗,實驗結果錶明基于最大頻繁 all-confidence 模式的二次挖掘能有效挖掘大量藥物模式之間的組配規則,有利于藥物模式之間組配規律的探尋.
방제배오규률연구시방제학난점화중점과제지일.이용 all-confidence 도량,알굴최대빈번all-confidence 모식.제출기우최대빈번 all-confidence 모식적이차알굴방법,알굴약물모식지간적조배규칙,종이탐심약물모식지간적조배규률,보조방제배오규률연구,병위림상조방제공규칙삼고.수선급출최대빈번all-confidence모식등상관적개념,기차급출기우최대빈번all-confidence모식적이차알굴방법,최후재방제수거고상진행실험,실험결과표명기우최대빈번 all-confidence 모식적이차알굴능유효알굴대량약물모식지간적조배규칙,유리우약물모식지간조배규률적탐심.
The research of the composition of medicines in a prescription is one of difficult and important tasks in formulas of Chinese medicine. We use all-confidence to mine maximal frequent all-confidence patterns. We give two mining method base on maximal frequent all-confidence patterns and mine rules of the composition of drug patterns in order to find laws of the composition of drug patterns. As a result, we can help the research of the composition of medicines in a prescription and meanwhile offer a number of rules for clinically formulating prescription. First, we give the related definitions, such as the definition of a maximal frequent all-confidence pattern and so on. Second, we give the two mining method based on maximal frequent all-confidence patterns. Finally, we perform experiments in prescription database. The experimental results show that the two mining method base on maximal frequent all-confidence patterns can find many rules of the composition of drug patterns. Thus, it is helpful for us to find laws of the composition of drug patterns.