[1]崔国宁 刘喜平 曾庆涛.刘东汉教授治疗脾胃病用药规律研究[J].陕西中医药大学学报,2017,(06):022-25.[doi:10.13424/j.cnki.jsctcm.2017.06.008]
　Cui Guoning Liu Xiping Zeng Qingtao.The study of Professor Liu Donghan’s Ｒegularity of Medicine Application on Spleen and Stomach Diseases[J].Journal of Shaanxi University of Traditional Chinese Medicine,2017,(06):022-25.[doi:10.13424/j.cnki.jsctcm.2017.06.008]
点击复制

刘东汉教授治疗脾胃病用药规律研究()
分享到：

《陕西中医药大学学报》[ISSN:2096-1340/CN:61-1501/R]

卷:
期数:
2017年06期
页码:
022-25
栏目:
名老中医经验
出版日期:
2017-11-01

文章信息/Info

Title:
The study of Professor Liu Donghan’s Ｒegularity of Medicine Application on Spleen and Stomach Diseases
文章编号:
2096－1340(2017)06－0022－04
作者:
崔国宁 刘喜平 曾庆涛
甘肃中医药大学，甘肃兰州730000
Author(s):
Cui Guoning Liu Xiping Zeng Qingtao
Gansu University of Chinese Medicine，Lanzhou 730000，China
关键词:
中医传承辅助平台;  脾胃病;  半夏
Keywords:
TCMISS;  spleen and stomach disease;  pinellia ternata
分类号:
Ｒ249.2
DOI:
10.13424/j.cnki.jsctcm.2017.06.008
文献标志码:
A
摘要:
目的基于中医传承辅助平台分析刘东汉教授治疗脾胃病的用药规律。方法搜集刘东汉教授治疗脾胃的门诊处方建立方剂数据库，依据中医传承辅助平台分析其用药规律。结果在脾胃病治疗中，高频药物依次为半夏、当归、黄芪、甘草、香附等; 常见的高频配伍为甘草伍当归、半夏伍香附、半夏伍当归、当归伍白芍、黄芪伍当归等; 规则分析中，当甘草伍白芍时，有96%可能出现当归，置信度最高; 基于改进的互信息法发现的潜在高频药对为当归配大黄、黄芪配干姜、当归配厚朴、白芍配枳实、黄芪配郁金等; 基于无监督的熵层次聚类得到核心组合20 个，进一
Abstract:
Objective To analyze Professor Liu Donghan’s regularity of medicine application on spleen and stomach diseases with the help of TCMISS． Method Professor Liu Donghan’s outpatient prescriptions for the treatment of spleen and stomach diseases were collected to establish database of prescriptions，and the regularity of medicine application was analyzed by means of TCMISS． Ｒesult In the treatment of spleen and stomach diseases，high frequency drugs were pinellia ternate，angelicae sinensis，astragalus，liquorice，rhizoma cyperi and so on，high frequency compatibility were liquorice with angelicae sinensis，pinellia ternate with rhizoma cyperi，pinellia ternate with angelicae sinensis，angelicae sinensis with white paeony root，astragalus with angelicae sinensis etc． In rule analysis，when liquorice and white paeony root were combined，there was a possibility of 96% of appearing angelicae sinensis with the highest confidence． The potential high frequency medicine pairs discovered by improved mutual information method were angelicae sinensis with rhubarb， astragalus with dried ginger，angelicae sinensis with magnolia officinalis，white paeony root with citrus aurantiuma，astragalus with curcuma，to name a few． 20 core pairs were discovered based on unsupervised boundary layer sub－cluster and 10 new prescriptions obtained after further clustering．“Warm”of the four nature took the highest proportion． Pungent， sweet，bitter accounted for the major proportion of the five flavors． Channel tropism mainly went to spleen，stomach， liver and lung．Conclusion Warming yang and strengthening body resistance is Professor Liu Donghan’s major method in treating spleen and stomach diseases，the though of reinforcing and protecting spleen and stomach runs throughout the treating process of spleen and stomach diseases，and regulating qi movement is the key to the treatment． Besides treating spleen and stomach，liver and lung should also be taken into consideration in the treatment of spleen and stomach diseases．

参考文献/References:

[1]叶任高，陆再英． 内科学［M]． 6 版．北京: 人民卫生出版社，2004．
[2]山东中医学院． 黄帝内经素问校释［M]．北京: 人民卫生出版社，2009．
[3]孙颖伟，殷海波，石白，等． 从顾护脾胃论治痹病临证经验［J]． 北京中医药，2014，33( 4) : 274－276．
[4]王飞，黄雅慧． 论《金匮要略》的顾护脾胃观［J]． 现代中医药，2016，( 3) : 58－59．
[5]王彦刚，吕静静，田雪娇，等． 基于数据挖掘的李东垣用药规律研究［J]． 中国中医药信息杂志，2016，23( 6) : 39－42．
[6]马青，单兆伟，王晓华． 单兆伟教授从肺论治脾胃病［J]． 吉林中医药，2016，36( 6) : 557－559．
[7]赵勇红，王垂杰． 从肝论治脾胃病思想探析［J]． 辽宁中医药大学学报，2012，14( 5) : 100－101．
[8]刘影哲，曹晔，潘祥宾． 基于数据挖掘技术探讨张金良从肝论治脾胃病用药规律［J]． 吉林中医药，2016，36( 7) : 729－732．

相似文献/References:

[1]赵壮壮 査安生* 张树卿.查安生教授治疗脾胃病临证用姜经验[J].陕西中医药大学学报,2018,(04):034.[doi:10．13424/j．cnki．jsctcm．2018．04．011]
[2]刘思娣１ 黄传兵２ 石周珍１ 朱刚１.基于数据挖掘分析《吴鞠通医案》治疗痹证的用药规律[J].陕西中医药大学学报,2019,(01):060.[doi:10.13424/j.cnki.jsctcm.2019.01.021]
[3]乔会侠 王癑 陈晓岩 指导:黄雅慧.基于中医传承辅助平台研究黄雅慧辨治慢性萎缩性胃炎用药规律[J].陕西中医药大学学报,2020,(03):019.[doi:10.13424/j.cnki.jsctcm.2020.03.006]
[4]李东方 李艳 陈音 崔杰 张敬锋 孟捷.基于数据挖掘的中医药治疗新型冠状病毒肺炎组方用药规律探析[J].陕西中医药大学学报,2022,(03):005.[doi:10.13424/j.cnki.jsctcm.2022.03.002]
　LI Dongfang LI Yan CHEN Yin CUI Jie ZHANG Jingfeng MENG Jie.Analysis on Prescription and Medication Rule of Traditional Chinese Medicine for Treatment of COVID-19 Based on Data Mining[J].Journal of Shaanxi University of Traditional Chinese Medicine,2022,(06):005.[doi:10.13424/j.cnki.jsctcm.2022.03.002]
[5]郭宇晴闫晶鑫梁正马梦舸王一鸣张朝晖.基于中医传承辅助平台分析张朝晖教授治疗糖尿病高危足用药规律[J].陕西中医药大学学报,2024,(05):030.[doi:10.13424/j.cnki.jsctcm.2024.05.005]
　GUO Yuqing YAN Jingxin LIANG Zheng MA Mengge WANG Yiming ZHANG Zhaohui.Analysis of Professor ZHANG Zhaohuis Medication Rule in Treating High-Risk Foot of Diabetes Based on the Auxiliary Platform of Traditional Chinese Medicine Inheritance[J].Journal of Shaanxi University of Traditional Chinese Medicine,2024,(06):030.[doi:10.13424/j.cnki.jsctcm.2024.05.005]

备注/Memo

备注/Memo:
收稿日期:2017－02－05编辑:方亚利
更新日期/Last Update: 2017-11-15