Regularity of syndrome differentiation and treatment of traditional Chinese medicine for Henoch-Schonlein purpura based on data mining techniques

• 作者: Jiaqi Yang Jie Guo Shuai Zhang Xiaoming Jin Xueshuai Dai Yinglin Qin
• 来源期刊: TMR医学数据挖掘
• 学科: 数学
• 关键词: syndrome DIFFERENTIATION and treatment traditional Chinese MEDICINE Henoch-Schonlein PURPURA data mining
• 年，卷（期）: tmrxysjwj_2019,（4）
• 页码范围: 169-175
• 页数: 7页
• 分类号: O17

摘要

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.