首页|基于数据挖掘技术探讨龙运光教授辨治痹证的用药规律

基于数据挖掘技术探讨龙运光教授辨治痹证的用药规律

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目的:基于中医传承计算平台(V3.5)挖掘龙运光教授治疗痹证的遣方用药特点及规律,为痹证的中医临床诊治提供参考.方法:筛选龙运光教授辨治痹证的相关医案并提取方药,以中医传承计算平台(V3.5)软件作为数据挖掘工具,对方药进行四气五味、归经功效、频次统计、组方规律、关联规则,以及聚类分析等数据挖掘.结果:共纳入龙运光教授辨治痹证方剂 261 个,涉及中药 273 味.四气以温性为主,其次为平、寒、凉、热.五味以甘味为主,其次为苦、辛、酸、咸.归经以肝经、脾经和肾经为主,常用核心药物组合 16 组,通过方剂聚类分析得到可能的新方组合 5 首.结论:从龙运光教授辨治痹证的相关医案中整理出方药,进行数据挖掘分析,总结出龙运光教授治疗痹证多从肝、脾、肾出发,药物以祛风湿类、活血化瘀类和补虚类为主,临床疗效较好,挖掘出的新方组合可为痹证的治疗提供一定参考.
Exploring the Medication Patterns of Professor LONG Yun-guang's Differentiation and Treatment of Bi Syndrome Based on Data Mining Technology
Objective:Based on the Traditional Chinese Medicine Inheritance Computing Platform(V3.5),this study aims to explore the characteristics and patterns of Professor LONG Yun-guang's prescription and medication in the treatment of Bi syndrome,and provide reference for the clinical diagnosis and treatment.Methods:Relevant medical cases of Professor LONG Yun-guang in the diagnosis and treatment of Bi syndrome and prescriptions were selected.The Traditional Chinese Medicine Inheritance Calculation Platform(V3.5)was used to conduct data mining on the four qi and five flavors,meridian effects,frequency statistics,medication patterns,association rules,and cluster analysis of the prescriptions.Results:A total of 261 prescriptions were included,involving 273 Chinese medicines.The four qi are mainly characterized by warm,followed by neutral,cold,cool,and hot.The five flavors are mainly sweet,followed by bitter,acrid,sour,and salty.The meridian entry are mainly the liver meridian,the spleen meridian,and the kidney meridian,with 16 commonly used core drug combinations.Through formula clustering analysis,5 possible new formula combinations were obtained.Conclusion:Based on the above analysis,it is concluded that Professor LONG Yun-guang's treatment of Bi syndrome mainly starts from the liver,spleen,and kidney,with drugs mainly focusing on dispelling wind and dampness,promoting blood circulation and removing stasis,and supplementing deficiency.The clinical efficacy is good,and the new combination of prescriptions mined can provide some reference for the treatment of Bi syndrome.

Bi syndromedata miningTraditional Chinese Medicine Inheritance Calculation Platform(V3.5)medication patternsLONG Yun-guang

李丹、彭记棚、宋云云、黄春霞、龙运光、马武开、姚血明

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贵州中医药大学,贵州 贵阳 550002

贵州中医药大学第二附属医院,贵州 贵阳 550003

痹证 数据挖掘 中医传承计算平台(V3.5) 用药规律 龙运光

国家自然科学基金贵州省科技计划贵州省科技计划全国名老中医药专家传承工作室建设项目龙运光传承工作室项目全国名老中医药专家传承工作室建设项目龙运光传承工作室项目贵州中医药大学国家与省级科技创新人才团队培育项目贵州中医药大学第二附属医院青苗课题贵州中医药大学第二附属医院青苗课题

82160869黔科合支撑[2021]一般 006黔科合基础-ZK[2023]一般 412国中医药人教函[2022]75号黔中医药函[2021]124号贵中医TD合字[2022]004号GZEYK-Y[2022]32号贵科合学术新苗[2023-36号]

2024

风湿病与关节炎
中华中医药学会

风湿病与关节炎

影响因子:1.216
ISSN:2095-4174
年,卷(期):2024.13(5)