CAJ | 학술논문

目的：采用SQL Server软件对古代治疗疫病方剂中的栀子豉汤类方进行关联分析，探讨关联规则参数设置在类方药物配伍、药-症关联分析中的作用。方法在“古方疫病数据库”中检索包含栀子、淡豆豉的方剂，并将标准化后的症状、药物数据导入SQL Server 2005软件形成关联规则，并通过调整参数，寻找参数设置与产生规则之间的规律。结果通过调整参数可有效挖掘多种不同的药物间和药-症间规则：支持度的设置有助发现常用配伍，置信度的调整有助挖掘特异性的药物、药-症规则；支持度高的项集所在的规则，其重要性反而降低。结论综合关联规则的支持度、置信度、重要性，并结合药、症的实际意义，可对类方中药物配伍和药-症关联开展有效挖掘。
목적：채용SQL Server연건대고대치료역병방제중적치자시탕류방진행관련분석，탐토관련규칙삼수설치재류방약물배오、약-증관련분석중적작용。방법재“고방역병수거고”중검색포함치자、담두시적방제，병장표준화후적증상、약물수거도입SQL Server 2005연건형성관련규칙，병통과조정삼수，심조삼수설치여산생규칙지간적규률。결과통과조정삼수가유효알굴다충불동적약물간화약-증간규칙：지지도적설치유조발현상용배오，치신도적조정유조알굴특이성적약물、약-증규칙；지지도고적항집소재적규칙，기중요성반이강저。결론종합관련규칙적지지도、치신도、중요성，병결합약、증적실제의의，가대류방중약물배오화약-증관련개전유효알굴。
Objective To discuss the specific role of association rules in the compatibility of herbs and the relationship between herbs and symptoms by analyzing ancient analogous prescriptions Zhizichi Decoction with SQL Server software.Methods The prescriptions which contain Gardenia and Semen Sojae Preparatum were searched in the database of “Ancient Prescriptions for Epidemic Disease”, and they were imported to software with the standardized data of their symptoms and ingredients, then the proper association rules were found. The laws between parameter setting and rule generation were searched through parameter adjustment.Results Many laws of the drug compatibility and relationship between herbs and symptoms were obtained effectively in data mining by adjusting the parameters:The support setting was good for finding common used drug compatibility, and the confidence was good for finding specific drug compatibility and relationship between herbs and symptoms;the item set which had high frequency, sometimes made the rule’s importance low.Conclusion The laws of compatibility of herbs and the relationship between herbs and symptoms for data mining of analogous prescriptions are discovered by analyzing the support, confidence and importance of the association-rules and the clinical magnificence between symptoms and herbs.