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Regularity of syndrome differentiation and treatment of traditional Chinese medicine for Henoch-Schonlein purpura based on data mining techniques 被引量:1
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作者 Shuai Zhang Yinglin Qin +3 位作者 Jiaqi Yang Jie Guo xueshuai dai Xiaoming Jin 《Medical Data Mining》 2019年第4期169-175,共7页
Objective:This study aims to explore the regularity of syndrome differentiation and treatment of traditional Chinese medicine(TCM)for allergic purpura.Methods:CNKI,Weipu Chinese science and technology database,wanfang... Objective:This study aims to explore the regularity of syndrome differentiation and treatment of traditional Chinese medicine(TCM)for allergic purpura.Methods:CNKI,Weipu Chinese science and technology database,wanfang medical network database,and Chinese biomedical literature database were searched for eligible studies.Medical records including complete patient personal information,patient symptoms,TCM syndromes,treatment,and medication were included.The data was analyzed using the Chinese medicine heritage support platform provided by the Chinese Academy of Chinese medicine(V2.5).Results:Differentiation of health gas camp blood was the most commonly used method of differentiation of symptoms and signs in famous veteran TCM.The treatment included cooling blood,activating blood circulation,clearing heat and detoxifying toxins,removing blood stasis and stopping bleeding.Honeysuckle,Forsythia suspensa,cicada slough and other drugs were interrelated.Potential drug pair combinations and drug networks showed the basic drug composition of Qingying Decoction.According to the entropy cluster analysis,28 core drug combination and 12 new formulations were obtained.Conclusion:The regularity of syndrome differentiation and treatment of traditional Chinese medicine for Henoch-Schonlein purpura based on the famous and old TCM doctors was complex.Further researches are still needed. 展开更多
关键词 syndrome differentiation and treatment traditional Chinese medicine Henoch-Schonlein purpura data mining
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