基于数据挖掘技术探讨《清宫医案集成》治疗不寐的用药规律
The Prescription Rule of"Qing Palace Medical Case Integration"for Insomnia Based on the Data Mining Technology
吴弦宇 1闫龙美 1邢雅璇 2许志杰 1陈益多 1高慧容 1张京春2
作者信息
- 1. 北京中医药大学研究生院(北京 100029)
- 2. 中国中医科学院西苑医院,国家中医心血管病临床医学研究中心(北京 100091)
- 折叠
摘要
目的:以数据挖掘技术为基础,探讨《清宫医案集成》中治疗不寐的用药和配伍规律.方法:将《清宫医案集成》中治疗不寐的处方进行整理,在古今医案云平台提供的 Excel 2010软件模板上建立处方数据库,通过古今医案云平台对数据进行频数统计、关联规则分析、聚类分析及复杂网络分析.结果:共筛选出 345首处方、275 味药物;经关联规则分析,对纳入的中药数据进行中药配伍关联分析,筛选出共现频次≥40次的中药,同时设置置信度≥0.6、支持度≥0.2,最终得到 13 条关联规则数据.高频药物间生成 5组聚类组合,核心处方包括白术、白芍、茯神、当归、甘草.结论:《清宫医案集成》中清代宫廷御医治疗不寐,具有气血同治、调心安神、重视肝脾的用药特点.
Abstract
Objective:To explore the medication rules of"Qing Palace Medical Case Integration"for insomnia.Methods:The medical records of traditional Chinese medicine for insomnia collected in"Qing Palace Medical Case Integration"were retrieved to construct the database of Ancient and Modern Medical Records Cloud Platform.The Ancient and Modern Medical Records Cloud Platform was used to conduct medication statistics,compatibility analysis,cluster analysis,and complex network analysis of traditional Chinese medicine.Results:A total of 345 medical records prescriptions were included in this study,involving 275 kinds of drugs.The compatibility association analysis of the included Chinese medicine data carried out,and the traditional Chinese medicine with co-occurrence frequency≥40 was selected,and the confidence degree≥0.6 and support degree≥0.2 were set.Finally,13 association rule data were obtained.The clustering results included 5 categories of drugs combinations,including Baizhu(Atractylodis Macrocephalae Rhizoma),Baishao(Paeoniae Radix Alba),Fushen(Poria cum Ligno Hospite),Danggui(Angelicae Sinensis Radix),and Gancao(Glycyrrhizae Radix et Rhizoma).Conclusion:The treatment of insomnia by Qing imperial physicians was mainly based on the rule of regulating heart,relieving mind,treating Qi with blood,and paying equal attention to liver and spleen.
关键词
不寐/《清宫医案集成》/古今医案云平台/用药规律/数据挖掘Key words
insomnia/"Qing Palace Medical Case Integration"/Ancient and Modern Medical Records Cloud Platform/medication rule/data mining引用本文复制引用
基金项目
中国中医科学院科技创新工程基金(CI2021A00915)
国家自然科学基金(81573817)
出版年
2024
NETL
NSTL
维普
万方数据