摘要
目的基于数据挖掘技术分析王庆国教授治疗失眠的用药规律。方法收集2016年12月-2023年8月王庆国教授治疗失眠的门诊纸质版处方并构建数据库,对筛选出的方药进行频数统计、关联规则分析、聚类分析等数据挖掘。结果共筛选有效门诊处方399首,涉及中药276味,总频次为6738,频次≥50的中药有38味,药性以温、寒、平为主,药味以甘、苦、辛为主,归经以肺经、脾经、心经为主。关联规则分析得出最常用的药物组合有浮小麦-黄芩-柴胡、陈皮-黄芩-法半夏等;关联规则网络分析得到了1个含有12味中药的治疗失眠的核心处方;聚类分析得到4组新药物组合。结论王教授治疗失眠具有谨尊内难、善用经方,合方运用、灵活加减,古今接轨、专病专药的特点,体现了“通平致和”的学术观点。
Objective To explore the medication law of Professor Wang Qingguo for the treatment of insomnia based on data mining technology.Methods Paper-based prescriptions for Professor Wang Qingguo’s treatment of insomnia from December 2016 to August 2023 were collected and a database was constructed.The screened prescriptions were subjected to data mining such as frequency statistics,association rule analysis,and clustering analysis.Results Totally 399 effective outpatient prescriptions were screened-out,involving 276 kinds of Chinese materia medica,with a total frequency of 6738 times.There were 38 Chinese materia medica with a frequency of use≥50.The properties were mainly warm,cold and mild,the tastes were mainly sweet,bitter and pungent,and mainly belong to the lung,spleen and heart meridians.Association rule analysis showed that the most commonly used drug combinations were“Fructus Tritici Levis-Scutellariae Radix-Bupleuri Radix”,“Pericarpium Citri Reticulatae-Scutellariae Radix-Pinelliae Rhizoma”,etc.Association rule network analysis obtained a core prescription containing 12 kinds of Chinese materia medica for insomnia.Four new drug combinations were obtained by clustering analysis.Conclusion Professor Wang’s treatment of insomnia has the characteristics of following the original meaning of Huang Di Nei Jing and Nan Jing,making good use of the classical prescription,applying combined prescription,flexible use of prescription,combining ancient and modern prescriptions,using specific medicine.It deeply reflects the academic view of“Tongping Zhihe”.
作者
陈佳慧
马重阳
邵奇
吉静
徐文秀
程发峰
王雪茜
王庆国(指导)
CHEN Jiahui;MA Chongyang;SHAO Qi;JI Jing;XU Wenxiu;CHENG Fafeng;WANG Xueqian;WANG Qingguo(School of Traditional Chinese Medicine,Beijing University of Chinese Medicine,Beijing 100029,China;The Affiliated Hospital of Nanjing University of Chinese Medicine,Nanjing 210029,China;School of Traditional Chinese Medicine,Capital Medical University,Beijing 100069,China)
出处
《中国中医药信息杂志》
CAS
CSCD
2024年第11期90-95,共6页
Chinese Journal of Information on Traditional Chinese Medicine
基金
国家自然科学基金(82004327、82205069)
中央高校基本科研业务费专项资金资助(2022-JYB-JBZR-004)
国家中医药管理局燕京刘氏伤寒流派传承工作室项目(1190062620029)。
关键词
失眠
用药规律
数据挖掘
王庆国
insomnia
medication law
data mining
Wang Qingguo