基于数据挖掘技术分析李发枝治疗口疮用药规律  

Analysis of Medication Rules of LI Fazhi in Treating Aphtha Based on Data Mining Technology

作　　者：符诚 潘晔 李萌[3] 潘玉颖 王新峰 张国海[3] 张明利 李发枝(指导)[3] FU Cheng;PAN Ye;LI Meng;PAN Yuying;WANG Xinfeng;ZHANG Guohai;ZHANG Mingli;LI Fazhi(Henan Integrative Medicine Hospital,Zhengzhou Henan 450004,China;The Fifth Affiliated Hospital of Zhengzhou University,Zhengzhou Henan 450052,China;Third Affiliated Hospital of Henan University of Traditional Chinese Medicine,Zhengzhou Henan 450003,China)

机构地区：[1]河南省中西医结合医院,河南郑州450004 [2]郑州大学第五附属医院,河南郑州450052 [3]河南中医药大学第三附属医院,河南郑州450003

出　　处：《新中医》2025年第6期7-12,共6页New Chinese Medicine

基　　金：国家自然科学基金面上项目(81774453);河南省中医药科学研究专项课题(2022ZY1144,20-21ZY1034);河南省中医药新冠肺炎科研专项课题(2022ZYFY08)。

摘　　要：目的:基于数据挖掘技术分析李发枝教授治疗口疮的用药规律。方法:收集李发枝教授2015年1月—2022年10月在河南中医药大学第三附属医院治疗口疮的门诊病历及跟诊医师记录的病历。统计处方中的药物使用频次和性味归经,采用R语言对使用频次前32位中药进行关联规则分析,使用K-means聚类方法进行药物组群分析,对高频药物在处方中占比及归经进行流年分析。结果:1625首处方涉及中药199种,使用总频次16766次。药性使用频次以寒性最多,温性次之。药味以辛、甘、苦为主。归经以脾、肺、胃、心经为主。关联规则分析显示,以清半夏、干姜、黄连、甘草的药组为核心,其与荆芥、防风的关联性最强。使用频次排名前32位的中药可聚类为7个群组。流年分析显示,甘草、黄芩、黄连、干姜、清半夏在2015—2022年占比均较高,大枣、人参在2020—2022年占比显著增长;用药集中在肺、脾经,随着时间的推移,胃、心、肝经用药均有所上升,其余归经用药有所下降。结论:李发枝教授治疗口疮以脾胃为核心,临床用药注重升降相因、寒温并用、疏畅中焦,近年来尤其重视对中焦的补益。Objective:To analysis the medication rules of Professor LI Fazhi in treating aphtha based on data mining technology.Methods:The clinical records of Professor LI Fazhi in treating aphtha at the Third Affiliated Hospital of Henan University of Traditional Chinese Medicine from January 2015 to October 2022 and the case history recorded by the physicians during their clinical practice and study were collected.The frequency of Chinese medicinals used in the prescriptions,the nature and flavor,and the meridian entries were counted;using R language,the top 32 Chinese medicinals in frequency of use was given the association rules analysis;K-means clustering method was used for Chinese medicinal groups analysis;the proportion of highly-used Chinese medicinals in prescriptions and their meridian entries were subjected to the time-flow analysis.Results:A total of 199 kinds of Chinese medicinals were involved in 1625 prescriptions,with a total frequency of use of 16766 times.The frequently-used Chinese medicinals were mostly cold in nature,followed by warm.The frequently-used Chinese medicinals were mainly acrid,sweet and bitter in flavor.The meridian entries were mainly the spleen,lung,stomach and heart.Association rules analysis showed that the medicinal group of Pinelliae Rhizoma Praeparatum cum Alumine,Zingiberis Rhizoma,Coptidis Rhizoma and Glycyrrhizae Radix et Rhizoma was the core,which had the strongest correlation with Schizonepetae Herba and Saposhnikoviae Radix.The top 32 Chinese medicinals in the frequency can be clustered into seven groups.The time-flow analysis showed that Glycyrrhizae Radix et Rhizoma,Scutellariae Radix,Coptidis Rhizoma,Zingiberis Rhizoma and Pinelliae Rhizoma Praeparatum cum Alumine accounted for a higher proportion from 2015 to 2022,and the proportion of Jujubae Fructus and Ginseng Radix et Rhizoma had a significant increase from 2020 to 2022;the medication was concentrated in the meridian entries of the lung and spleen.With the passage of time,the medication of the meridian entries of the s

关 键 词：口疮 用药规律 数据挖掘 R语言 李发枝 

分 类 号：R276.8[医药卫生—中医五官科学]