Discussion on Professor Huang Shaogang’s Medication Regularity for Chronic Gastritis based on Data Mining

LI Jianqing; ZHENG Huan; WU Haomeng; QIN Shumin; HUANG Shaogang

doi:10.14009/j.issn.1672-2124.2020.12.023

您当前的位置：

首页 >

文章列表页 >

Discussion on Professor Huang Shaogang’s Medication Regularity for Chronic Gastritis based on Data Mining

更新时间：2022-10-08

- Discussion on Professor Huang Shaogang’s Medication Regularity for Chronic Gastritis based on Data Mining
- Vol. 20, Issue 12, Pages: 1501-1504(2020)
- 作者机构：
  
  1. 广州中医药大学第二临床医学院
  2. 广州中医药大学第二附属医院脾胃病科
  3. 广东省中医院杨春波学术经验传承工作室
- 作者简介：
- 基金信息：
- DOI：10.14009/j.issn.1672-2124.2020.12.023
  CLC： R249;R259
- Published：2020，
扫描看全文
[1]李间清,郑欢,吴皓萌,秦书敏,黄绍刚.基于数据挖掘探讨黄绍刚教授治疗慢性胃炎的用药规律[J].中国医院用药评价与分析,2020,20(12):1501-1504+1508.

LI Jianqing, ZHENG Huan, WU Haomeng, et al. Discussion on Professor Huang Shaogang’s Medication Regularity for Chronic Gastritis based on Data Mining. [J]. 20(12):1501-1504(2020)
[1]李间清,郑欢,吴皓萌,秦书敏,黄绍刚.基于数据挖掘探讨黄绍刚教授治疗慢性胃炎的用药规律[J].中国医院用药评价与分析,2020,20(12):1501-1504+1508. DOI： 10.14009/j.issn.1672-2124.2020.12.023.

LI Jianqing, ZHENG Huan, WU Haomeng, et al. Discussion on Professor Huang Shaogang’s Medication Regularity for Chronic Gastritis based on Data Mining. [J]. 20(12):1501-1504(2020) DOI： 10.14009/j.issn.1672-2124.2020.12.023.

摘要

目的:系统回顾和总结黄绍刚教授辨治慢性胃炎的用药规律。方法:收集2017—2019年黄绍刚教授于门诊治疗慢性胃炎的中药处方

使用Excel软件建立数据库

运用IBM SPSS Modeler 18.0软件的关联规则分析挖掘常用药物组合

运用SPSSStatistics 22.0软件对频次较高的20类中药进行聚类分析。结果:共纳入341张中药处方

常用中药为法半夏、紫苏梗、陈皮、白术和木香

常用中药类别为理气药、补虚药和化痰药

最常用的2味中药组合为法半夏-紫苏梗

关联规则中提升度最高的药物组合为柴胡-法半夏→黄芩。对20味高频中药进行聚类分析

得出5组聚类组

分别为黄芩、柴胡、太子参、枳壳、合欢皮、白芍和延胡索（C1组）

砂仁、鸡内金、豆蔻、黄芪和乌药（C2组）

法半夏、陈皮、紫苏梗、白术、茯苓和党参（C3组）

木香（C4组）

厚朴（C5组）。结论:黄绍刚教授认为

慢性胃炎的基本病机以脾胃虚弱为本

痰湿内蕴、肝郁气滞为标

临床上应当以健脾化湿、疏肝理气为基本法则

随症加减。

Abstract

OBJECTIVE:To systematically review and summarize Professor Huang Shaogang’s medication regularity for chronic gastritis.METHODS:Traditional Chinese medicine（TCM） prescriptions of Professor Huang Shaogang for the treatment of chronic gastritis in outpatient from 2017 to 2019 were collected

Excel was used to build a database

association rules of IBM SPSS Modeler 18.0 software was used to analyze and mine common drug combinations

SPSS Statistics 22.0 software was used to coruluct clustering analysis on 20 types of high-frequency Chinese medicines.RESULTS:Totally 341 TCM prescriptions were involved

the commonly used traditional Chinese medicines were pinellia ternata

perilla stalk

dried tangerine peel

atractylodes macrocephala and costusroot

the commonly used types of traditional Chinese medicines were Qi-regulating drugs

tonic drugs and phlegm-resolving drugs

the most commonly used drug combination of 2 flavors of traditional Chinese medicine was pinellia ternata-perilla stalk

the drug combination with the highest degree of improvement in association rules was bupleurum-pinellia ternata→Scutellariae baicalensis.5 cluster groups was obtained from the cluster analysis on 20 flavors of high-frequency traditional Chinese medicines

respectively were Scutellaria baicalensis

hupleurum

pseudostellaria

citrus aurantium

albizia julibrissin

radix paeoniae and corydalis（C1 group）

amomum villosum

gallus gallus

cardamom

astragalus and black medicine（group C2）

pinellia ternata

tangerine peel

perilla stem

atractylodes

poria and codonopsis（group C3）

costusroot（group C4）

magnolia officinalis（group C5）.CONCLUSIONS:Professor Huang Shaogang believes that the basic pathogenesis of chronic gastritis is based on the weakness of spleen and stomach

internal phlegm-dampness and Qi-stagnation and liver-depression as the criteria.In clinical practice

the basic treatment principle is strengthening spleen and removing dampness

soothing liver and regulating Qi

modified with symptoms.

关键词

慢性胃炎数据挖掘黄绍刚用药规律

Keywords

Chronic gastritisData miningHuang ShaogangMedication regularity

references

查看原文

Views

159

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Medication Rules of Traditional Chinese Medicine in the Treatment of Liver Cancer After Transcatheter Arterial Chemoembolization Based on Data Mining

Data Mining of Perampanel-Associated New Adverse Drug Events Based on FAERS Database

Regularity and Mechanism of Traditional Chinese Medicine in the Treatment of Osteoporosis Based on Data Mining and Network Pharmacology

Application Characteristics of Atractylodis Macrocephalae Rhizoma in Different Dose Range Based on Data Mining

Related Author

XU Chunjun

ZHANG Yingxue

LI Xiaoling

SUN Fengxia

ZHANG Yanjie

MIAO Liyan

ZHU Jianguo

XIE Cheng

Related Institution

Dept.of Hepatology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University

Dept. of Pharmacy, the First Affiliated Hospital of Soochow University

Dept.of Pharmacy, Sichuan Province Orthopedic Hospital

Dept.of Hematology,Children’s Hospital of Hebei Province

Dept.of Pharmacy,Children’s Hospital of Hebei Province

⁰