Data Mining of Medication Rules by Professor LIU Shangyi in the Treatment of Menstrual Disorders

TANG Dongxin; YANG Zhu; JIN Lulu; WU Xi; GUO Bin; WANG Jinghui; JU Huangjin

doi:10.13288/j.11-2166/r.2016.12.008

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Data Mining of Medication Rules by Professor LIU Shangyi in the Treatment of Menstrual Disorders

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- Data Mining of Medication Rules by Professor LIU Shangyi in the Treatment of Menstrual Disorders
- Journal of Traditional Chinese Medicine Vol. 57, Issue 12, Pages: 1019-1022(2016)
- 作者机构：
  
  1. 贵阳中医学院
  2. 中国中医科学院博士后科研流动站
- 作者简介：
- 基金信息：
- DOI：10.13288/j.11-2166/r.2016.12.008
  CLC： R271.111;R249
- Published：2016
- 稿件说明：
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[1]唐东昕,杨柱,金露露,吴曦,郭斌,王镜辉,琚皇进.刘尚义治疗月经不调用药规律数据挖掘[J].中医杂志,2016,57(12):1019-1022.

TANG Dongxin, YANG Zhu, JIN Lulu, et al. Data Mining of Medication Rules by Professor LIU Shangyi in the Treatment of Menstrual Disorders[J]. Journal of Traditional Chinese Medicine2016, 57(12): 1019-1022.
[1]唐东昕,杨柱,金露露,吴曦,郭斌,王镜辉,琚皇进.刘尚义治疗月经不调用药规律数据挖掘[J].中医杂志,2016,57(12):1019-1022. DOI： 10.13288/j.11-2166/r.2016.12.008.

TANG Dongxin, YANG Zhu, JIN Lulu, et al. Data Mining of Medication Rules by Professor LIU Shangyi in the Treatment of Menstrual Disorders[J]. Journal of Traditional Chinese Medicine2016, 57(12): 1019-1022. DOI： 10.13288/j.11-2166/r.2016.12.008.

摘要

目的采用数据挖掘技术对国医大师刘尚义治疗月经不调的用药规律进行分析。方法收集2014年1-11月就诊于刘尚义国医堂门诊的月经不调患者147例

采集患者临床资料及处方用药信息

采用中医传承辅助系统（V2.5）统计药物使用频次

并采用关联规则、熵聚类、复杂系统熵聚类分析药物组合和方剂组方规律。结果 147例患者共使用中药137种。使用频次前5位的药物依次为川芎（113）、当归（104）、郁金（81）、莪术（76）、佛手（73）;药物组合依次为当归、川芎（96）

佛手、郁金（73）

川芎、郁金（70）

川芎、莪术（67）

当归、郁金（65）。基于改进的互信息法的药物间关联度前5位依次为莪术、法半夏（0.0359）

郁金、生地黄（0.0352）

郁金、泽兰（0.0332）

川芎、泽兰（0.0326）

川芎、茜草（0.0326）;基于复杂系统熵聚类的药物核心组合共计18组

主要有莪术、川芎、刘寄奴

黄芩、法半夏、槟榔

菟丝子、皂角刺、白芥子

川芎、当归、益母草

郁金、黄柏、佛手。结论刘尚义治疗月经不调善用阳药

重在调肝

在活血补血、滋养肝肾的基础上常辅以理气、祛湿、化痰等法。

Abstract

Objective To analyze the medication rules by national traditional Chinese medicine master Prof. LIU Shangyi in the treatment of menstrual disorders adopting data mining technology. Methods Records of 147 patients with menstrual disorders who visited Prof. LIU Shangyi in Guo Yi Tang Clinic from January to November

2014 were collected. Patients’ clinical data and prescription（ herbs） information were extracted. Herbs used frequencies were counted with Auxiliary System of Traditional Chinese Medicine Inheritance（ V2. 5）. Herb combinations and prescription rules were analyzed with association rules

entropy clustering and complex system entropy clustering. Results One hundred and forty-seven patients were given 137 herbs totally. Top 5 frequent used herbs were

in order

Chuanxiong（ Rhizoma Ligustici Chuanxiong

川芎）（ 113）

Danggui（ Radix Angelicae Sinensis

当归）（ 104）

Yujin（ Radix Curcumae

郁金）（ 81）

Ezhu（ Rhizoma Curcumae

莪术）（ 76） and Foshou（ Citrus Chirocarpus

佛手）（ 73）

and herbs combinations were

in order

Danggui-Chuanxiong（ 96）

Foshou-Yujin（ 73）

Chuanxiong-Yujin（ 70）

Chuanxiong-Ezhu（ 67） and Danggui-Yujin（ 65）. Top 5 correlations between herbs based on modified mutual information method were

in order

Ezhu-Fabanxia（ Rhizoma Pinelliae Preparatum

法半夏）（ 0. 0359）

YujinShengdihuang（ Radix Rehamnniae

生地黄）（ 0. 0352）

Yujin-Zelan（ Herba Lycopi

泽兰）（ 0. 0332）

ChuanxiongZelan（ 0. 0326） and Chuanxiong-Qiancao（ Radix Rubiae

茜草）（ 0. 0326）. There were 18 herb core combinations in total based on complex system entropy clustering

mainly including Ezhu

Chuanxiong

Liujinu（ Artemisia anomala

刘寄奴）

Huangqin（ Radix Scutellariae

黄芩）

Fabanxia

Binlang（ Semen Arecae

槟榔）

Tusizi（ Semen Cuscutae

菟丝子）

Zaojiaoci（ Spina Gleditsiae

皂角刺）

Baijiezi（ Semen Brassicae

白芥子）

Danggui

Yimucao（ Herba Leonuri

益母草）

Yujin

Huangbai（ Cortex Phellodendri

黄柏） and Foshou. Conclusion Prof. LIU Shangyi is good at using herbs of Yang and emphasizes regulating the liver when treating menstrual disorders. In addition to promoting blood circulation

replenishing blood

as well as nourishing liver and kidney

methods of regulating Qiflowing

eliminating dampness

dissipating phlegm

etc. are combined usually.

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Related Author

YANG Zhu

TANG Dongxin

GUO Bin

WU Xi

WANG Jinghui

JIN Lulu

HUANG Wenqi

YANG Bing

Related Institution

Guiyang College of Chinese Medicine

Post-doctoral Research Center,China Academy of Chinese Medical Sciences

Center for Post-doctoral Studies,China Academy of Chinese Medical Sciences

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The First Affiliated Hospital of Anhui University of Chinese Medicine

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