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基于粗糙集理论的医院制剂黑药膏处方优化研究

Study on the Optimization of Prescription of Hospital Preparation Heiyaogao Based on Rough Set Theory
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摘要 目的:利用粗糙集理论对我院医院制剂黑药膏处方进行优化。方法:通过咨询专家及结合各药的功能主治,将26味中药分为清热药、补虚药、活血祛瘀药、祛风湿药、止血药,运用正交试验方法设计组方-药效实验,运用粗糙集理论对5组中药组合进行属性约简。结果:约简后的属性集分别为活血祛瘀药、祛风湿药、止血药,证明这3组中药为方中主要起效中药,处方由26味药优化为12味药,并通过验证实验证实结果的准确性。结论:粗糙集理论可应用于中药处方优化,可为中药二次开发提供参考。 Objective:to optimize the prescription of hospital preparation Heiyaogao by using rough set theory(RST).Methods:Through consulting experts and combining the functions of various drugs,26TCMs were divided into heat-clearing drugs,tonic drugs,blood circulation drugs,rheumatism drugs and hemostatic drugs.The orthogonal test method was used to design a set of prescription-pharmacodynamics experiment.Using rough set theory,the attribute reduction of 5groups of TCM combinations was carried out.Results:The attribute sets after the reduction were blood circulation drugs,rheumatism drugs and hemostatic drugs.It was proved that these three groups of drugs were the main effective drugs.The prescription was optimized from 26flavor drugs to 12flavor drugs.Conclusion:RST can be applied to the prescription optimization of Chinese medicine and provide a method for the secondary development of Chinese medicine.
作者 区通源 张昊亮 马灶亮 马建春 Ou Tongyuan;Zhang Haoliang;Ma Zaoliang;Ma Jianchun(The First Affiliated Hospital of Guangdong Pharmaceutical University,Guangzhou 510080,China)
出处 《亚太传统医药》 2019年第7期74-76,共3页 Asia-Pacific Traditional Medicine
关键词 黑药膏 处方优化 粗糙集 Heiyaogao Optimization of Prescription RST
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