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首页|期刊导航|中国中医药信息杂志|基于Carma算法和复杂网络探讨王应麟治疗小儿咳嗽处方规律

基于Carma算法和复杂网络探讨王应麟治疗小儿咳嗽处方规律

吴建军 丁丹丹 赵本璋 周慧敏 汪睿韬 李奇 张沂 杜维莎 李欣

中国中医药信息杂志2024,Vol.31Issue(7):38-43,6.
中国中医药信息杂志2024,Vol.31Issue(7):38-43,6.DOI:10.19879/j.cnki.1005-5304.202307407

基于Carma算法和复杂网络探讨王应麟治疗小儿咳嗽处方规律

Discussion on Prescription Law of Wang Yinglin's Treatment for Pediatric Cough Based on Carma Algorithm and Complex Network

吴建军 1丁丹丹 2赵本璋 1周慧敏 1汪睿韬 1李奇 3张沂 1杜维莎 1李欣4

作者信息

  • 1. 北京中医药大学第三附属医院,北京 100029
  • 2. 首都医科大学附属北京中医医院,北京 100010
  • 3. 北京京都儿童医院,北京 102208
  • 4. 中国中医科学院眼科医院,北京 100040
  • 折叠

摘要

Abstract

Objective To explore the prescription law of Professor Wang Yinglin for treating pediatric cough based on the Carma algorithm and complex network.Methods The prescriptions of children with cough as the chief complaint who were treated by Professor Wang in the outpatient department from November 2022 to May 2023 were taken as the research object.Carma algorithm and complex network were used to analyze the main prescriptions of Professor Wang for treating children's cough,and explore the prescription law of Professor Wang for treating children's cough.Results A total of 420 cases were included,with an average age of 6.5 years old.Among them,there were 158 males and 262 females,involving 420 prescriptions,97 kinds of Chinese materia medica,a total frequency of 4 665,and 37 drugs with a frequency of use>20.By analyzing the drug combination derived from Carma analysis of algorithms and clinical verification,it was found that Professor Wang commonly used two drug combinations to treat children's cough:Poria-Exocarpium Citri Rubrum,Scrophulariae Radix-Imperatae Rhizoma,Peucedani Radix-Cynanchi Stauntonii Rhizoma,Perillae Fructus-Asteris Radix,Saposhnikoviae Radix-Liquidambaris Fructus;three medicine combination:Perillae Fructus-Asteris Radix-Semen Lepidii,Poria-Cablin Potchouli Herb-Exocarpium Citri Rubrum,Magnoliae Flos-Saposhnikoviae Radix-Liquidambaris Fructus;the combination of four drugs included Poria-Scrophulariae Radix-Exocarpium Citri Rubrum-Imperatae Rhizoma,Poria-Adenophorae Radix-Exocarpium Citri Rubrum-Scrophulariae Radix;five medicine combinations:Poria-Scrophulariae Radix-Exocarpium Citri Rubrum-Imperatae Rhizoma-Adenophorae Radix,Poria-Scrophulariae Radix-Exocarpium Citri Rubrum-Imperatae Rhizoma-Cablin Potchouli Herb;six medicine combinations:Poria-Scrophulariae Radix-Exocarpium Citri Rubrum-Imperatae Rhizoma-Adenophorae Radix-Folium Eriobotryae,Poria-Scrophulariae Radix-Exocarpium Citri Rubrum-Imperatae Rhizoma-Adenophorae Radix-Isatidis Radix,Poria-Scrophulariae Radix-Exocarpium Citri Rubrum-Imperatae Rhizoma-Cablin Potchouli Herb-Saposhnikoviae Radix,Folium Eriobotryae-Perillae Fructus-Asteris Radix-Semen Lepidii-Peucedani Radix-Cynanchi Stauntonii Rhizoma,Glehniae Radix-Crataegi Fructus-Stemonae Radix-Bulbus Lilii-Bulbus Fritillariae Cirrhosae-Ophiopogonis Radix.Complex network analysis found that the core drugs were:Adenophorae Radix,Poria,Exocarpium Citri Rubrum,Scrophulariae Radix,Imperatae Rhizoma,Folium Eriobotryae,Bulbus Fritillariae Thunbergii,Isatidis Radix,Peucedani Radix,Cynanchi Stauntonii Rhizoma,Stemonae Radix,Bambusae Concretio Silicea,Cablin Potchouli Herb.Five core prescriptions were obtained by multi-scale backbone network analysis.Conclusion Professor Wang's treatment of pediatric cough varies depending on the medical history,symptoms,and location of the disease,with different prescriptions.New diseases are often considered based on pathogenic factors,with phlegm heat as the main treatment,and the efficacy is mostly achieved by purging the lungs and resolving phlegm;phlegm heat gradually subsides,and residual pathogens are not cleared.The main approach is to eliminate residual pathogens and replenish qi and yin;long term illness mainly focuses on supplementing qi and nourishing yin.

关键词

咳嗽/小儿/处方规律/Carma算法/复杂网络/王应麟

Key words

cough/pediatric/prescription law/Carma algorithm/complex network/Wang Yinglin

分类

医药卫生

引用本文复制引用

吴建军,丁丹丹,赵本璋,周慧敏,汪睿韬,李奇,张沂,杜维莎,李欣..基于Carma算法和复杂网络探讨王应麟治疗小儿咳嗽处方规律[J].中国中医药信息杂志,2024,31(7):38-43,6.

基金项目

国家自然科学基金(82274462) (82274462)

北京市自然科学基金(7232284) (7232284)

第五批全国中医临床优秀人才研修项目(2022年) (2022年)

中国中医药信息杂志

OACSTPCD

1005-5304

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