Medication Rules of Prescriptions of Hepatopathy Based on Data Mining

SONG Jing-mei; WU Jia-rui; JIANG Di; ZHANG Dan

doi:10.13422/j.cnki.syfjx.2015220218

您当前的位置：

首页 >

文章列表页 >

Medication Rules of Prescriptions of Hepatopathy Based on Data Mining

更新时间：2024-01-04

- Medication Rules of Prescriptions of Hepatopathy Based on Data Mining
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 21, Issue 22, Pages: 218-221(2015)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.13422/j.cnki.syfjx.2015220218
  CLC： R289.5;TP311.13
- Published：2015
- 稿件说明：
移动端阅览
SONG Jing-mei, WU Jia-rui, JIANG Di, et al. Medication Rules of Prescriptions of Hepatopathy Based on Data Mining[J]. Chinese journal of experimental traditional medical formulae, 2015, 21(22): 218-221.
DOI：

SONG Jing-mei, WU Jia-rui, JIANG Di, et al. Medication Rules of Prescriptions of Hepatopathy Based on Data Mining[J]. Chinese journal of experimental traditional medical formulae, 2015, 21(22): 218-221. DOI： 10.13422/j.cnki.syfjx.2015220218.

摘要

目的:探讨中医治疗肝病的用药规律。方法:收集治疗肝病处方

基于中医传承辅助系统软件构建数据库

进而采用关联规则Apriori算法和复杂系统熵聚类方法

确定处方中各药物和药物组合的使用频次及药物之间的关联规则等。结果:高频次药物包括茯苓、丹参、茵陈、白术、柴胡等;高频次药物组合包括"丹参、茯苓"

"白术、茯苓"

"丹参、赤芍"等;置信度为0.6以上的关联规则包括"黄芪->丹参"

"白术->茯苓"

"黄芪->茯苓"

"党参->茯苓"。结论:纳入研究治疗肝病的处方多用健脾渗湿、凉血活血、养阴柔肝、疏肝解郁之品

配伍精巧

符合中医标本兼治的用药原则。

Abstract

Objective: To investigate the medication rules of traditional Chinese medicines(TCM) for the treatment of hepatopathy by National Medical Masters. Method: The prescriptions for hepatopathy were collected to build a database based on TCM inheritance assist system. Apriori algorithm and complex system entropy cluster were adopted to determined the frequency of single medicine and drug combinations that used in prescriptions

and the association rules between drugs e. Result: Frequently used herbs included Poria

Salviae Miltiorrhizae Radix et Rhizoma

Artemisiae Scopariae Herba

Atractylodis Macrocephalae Rhizoma and Bupleuri Radix;Frequently used drug combinations included 'Salviae Miltiorrhizae Radix et Rhizoma and Poria'

'Atractylodis Macrocephalae Rhizoma and Poria' and 'Salviae Miltiorrhizae Radix et Rhizoma and and Paeoniae Radix Rubra'.The association rules with a confidence of above 0.6 included 'Astragali Radix-> Salviae Miltiorrhizae Radix et Rhizoma and'

'Atractylodis Macrocephalae Rhizoma-> Poria'

'Astragali Radix-> Poria' and 'Pilosula Codonopsis-> Poria'. Conclusion: The prescriptions used for the treatment of hepatopathy mostly have the effects of reinforcing spleen and eliminating dampness

cooling blood and activating blood circulation

nourishing Yin to calm liver and discharging liver and relieving depression

with the refined compatibility and the TCM medication principles for treating symptoms and root causes.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Analysis on Patterns of YAN Zheng-hua's Prescriptions for Treating Stomachache by Apriori and Clustering Algorithm

Analysis of Apriori and Clustering Algorithm on Traditional Chinese Medicine Master YAN Zheng-hua's Medication Rule in Prescriptions for Insomnia

Analysis on TCM Master YAN Zheng-hua's Medication Rule in Prescriptions for Chest Pain Based on Apriori and Clustering Algorithm

Analysis on Traditional Chinese Medicine Master YAN Zheng-hua’s Medication Rule in Prescriptions for Syndrome of Blood Stasis Based on Apriori and Clustering Algorithm

Medication Regularity of Traditional Chinese Medicine Classical Prescriptions for Depression Based on Apriori and Clustering Algorithm

Related Author

ZHANG Bing

YANG Bing

CHEN Dan

GUO Wei-xian

WU Jia-rui

ZOU Jin

YANG Xue-qin

ZHANG Xiao-yong

Related Institution

Xiyuan Clinical Medical College, Beijing University of Chinese Medicine

Beijing Key Laboratory of Pharmacology of Chinese Materia Medica,Institute of Basic Medical Sciences,Xiyuan Hospital,China Academy of Chinese Medical Sciences

Institute of Information on Traditional Chinese Medicine,China Academy of Chinese Medical Sciences

Key Laboratory of Modern Preparation of Traditional Chinese Medicine(TCM), Ministry of Education, College of Computer Science, School of Pharmacy, Jiangxi University of TCM

Graduate School， Hebei University of Chinese Medicine

AI问答

Postal code：100700
Tel：010-84076882 Email：syfjx_2010@188.com
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备11006657号-10 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰