[1]陈丽霞郭苗苗李儒婷彭剑飞张惠玲王靓施慧.中医药辨治糖尿病心脏病用药规律分析[J].陕西中医药大学学报,2024,(03):074-81.[doi:10.13424/j.cnki.jsctcm.2024.03.011]
　CHEN LixiaGUO MiaomiaoLI RutingPENG JianfeiZHANG HuilingWANG LiangSHI Hui.Analysis on Medication Rule of Diabetes Heart Disease Treated by Traditional Chinese Medicine[J].Journal of Shaanxi University of Traditional Chinese Medicine,2024,(03):074-81.[doi:10.13424/j.cnki.jsctcm.2024.03.011]
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中医药辨治糖尿病心脏病用药规律分析()
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《陕西中医药大学学报》[ISSN:2096-1340/CN:61-1501/R]

卷:
期数:
2024年03期
页码:
074-81
栏目:
出版日期:
2024-07-01

文章信息/Info

Title:
Analysis on Medication Rule of Diabetes Heart Disease Treated by Traditional Chinese Medicine
文章编号:
2096-1340(2024)03-0074-08
作者:
陈丽霞1郭苗苗1李儒婷1彭剑飞1张惠玲1王靓2施慧1
1.安徽中医药大学护理学院，安徽 合肥 230012；
2.安徽中医药大学中西医结合学院，安徽 合肥 230012
Author(s):
CHEN Lixia1GUO Miaomiao1LI Ruting1PENG Jianfei1ZHANG Huiling1WANG Liang2SHI Hui1
1.School of Nursing,Anhui University of Chinese Medicine,Hefei 230012,China;
2.School of Integrated Chinese and Western Medicine,Anhui University of Chinese Medicine,Hefei 230012,China
关键词:
关键词：糖尿病; 心脏病; 数据挖掘; 隐结构; 频繁项集; 用药规律
Keywords:
Key words：Diabetes; Heart disease; Data mining; Hidden structure; Frequent itemsets; Medication patterns
分类号:
R259
DOI:
10.13424/j.cnki.jsctcm.2024.03.011
文献标志码:
A
摘要:
摘要：目的 基于现代文献探究糖尿病心脏病的用药规律。方法 检索中国知网（CNKI）、中国生物医学文献数据库（CBM）等数据库建库至2021年12月收录的有关中药辨治糖尿病心脏病的文献。分别使用Lantern 5.0、Weka 3.8.5软件，对药物及症状进行隐结构分析以及药物与药物、药物与证型、药物与症状的频繁项集分析。结果 共计文献131篇。数据挖掘分析常用症状51项，包括苔白、面色少华、头晕等；药物使用145味，包括丹参、麦冬、黄芪等；药物功效有补虚、活血化瘀、清热等。药物隐结构模型得到包括补益肝肾、涩精固脱等4类隐类；症状隐结构模型得到气虚、阴虚、阳虚、痰湿等证素。挖掘出药物-药物频繁项集12项，包括川芎+麦冬+丹参等；药物-证型频繁项集17项，其中包括肉桂+五味子+阴阳两虚等；药物-症状频繁项集12项，包括瓜蒌+大便溏+苔白等。结论 中药辨治糖尿病心脏病以调补心肾、健脾益气为主，并根据具体证型予以用药，可为临床干预糖尿病心脏病提供参考依据。
Abstract:
Abstract：Objective To explore the rule of medication for diabetes heart disease based on modern literature.Methods The literature on the treatment of diabetes and heart disease by traditional Chinese medicine from the establishment of CNKI,CBM and other databases to December 2021 was retrieved.Using Lantern 5.0 and Weka 3.8.5 software respectively,perform hidden structure analysis on drugs and symptoms,as well as frequent itemset analysis on drugs and drugs,drugs and syndrome types,and drugs and symptoms.Results There were a total of 131 references.51 commonly used symptoms in data mining analysis,including white coating,dull complexion,dizziness,etc;145 herbs are used,including Danshen,Ophiopogon japonicus,Astragalus membranaceus,etc;The medicinal effects include tonifying deficiency,promoting blood circulation and removing blood stasis,and clearing heat.The hidden structure model of drugs includes four types of hidden classes: tonifying the liver and kidney,astringent essence and solid removal,etc;The symptom hidden structure model obtains syndrome elements such as Qi deficiency,Yin deficiency,Yang deficiency,and phlegm dampness.Digging out 12 frequent itemsets of drugs,including Chuanxiong,Ophiopogon japonicus,and Salvia miltiorrhiza;The frequent itemset of drug syndrome types includes 17 items,including Cinnamon,Schisandra,Yin Yang deficiency,etc;The drug symptom frequent itemset includes 12 items,including Gualou+loose stools+white coating,etc.Conclusion The treatment of diabetes heart disease with traditional Chinese medicine mainly focuses on regulating the heart and kidney,invigorating the spleen and supplementing Qi,and can be used according to specific syndromes,which can provide reference for clinical intervention of diabetes heart disease.

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备注/Memo

备注/Memo:
基金项目：国家自然科学基金青年基金项目(81603602)；安徽省教育厅高校自然科学研究重点项目(KJ2021A0582)
更新日期/Last Update: 2024-05-20