实用临床医药杂志2025，Vol.29Issue(8)：6-11,6.DOI:10.7619/jcmp.20245225
基于数据挖掘分析脑小血管疾病的中医证候特点和用药规律
Characteristics of traditional Chinese medicine syndromes and medication patterns in cerebral small vessel disease based on data mining
摘要
Abstract
Objective To explore the traditional Chinese medicine(TCM)syndrome character-istics and medication patterns of cerebral small vessel disease(CSVD)using data mining techniques.Methods Clinical research literature on TCM treatment of CSVD,published from the establishment of the database to September 1,2024,was retrieved from the China National Knowledge Infrastructure(CNKI),Wanfang,and VIP databases.Analyses were conducted on syndromes,drug frequencies,properties,flavors,and meridian tropisms.Data mining was performed using R4.4.1 software to ex-plore associations,correlations,and clustering of TCM herbs,aiming to elucidate medication patterns in CSVD treatment.Results A total of 60 prescription formulas for treating CSVD were screened,involving 142 TCM herbs with a total usage frequency of 1,312 times.The top five most frequently used herbs were Chuanxiong,Danggui,Dilong,Huangqi,and Chishao.Herb properties were pre-dominantly warm and cold;flavors were mainly pungent,bitter,and sweet;and meridian tropisms were primarily to the liver,spleen,and heart meridians.Twenty-nine strong association rules were identified,and association analysis revealed core herbal combinations centered around Chuanxiong,Chishao,and Danggui.Clustering analysis yielded five herbal combinations.Conclusion CSVD is characterized by a deficiency in essence and excess in superficiality.Treatment should focus on tonify-ing deficiencies and eliminating excesses,combining both tonification and purgation methods.Medication patterns predominantly involve herbs for promoting blood circulation and removing blood stasis,often combined with herbs for nourishing the kidney and marrow,calming the liver and suppressing wind,and awakening the mind and opening the orifices.关键词
脑小血管病/R语言/中医证候/用药规律/数据挖掘/中医药/关联规则/药物配伍Key words
cerebral small vessel disease/R language/traditional Chinese medicine syn-dromes/medication patterns/data mining/traditional Chinese medicine/association rules/drug compatibility分类
医药卫生引用本文复制引用
张红,兰闻禹,杨世伟,曾爽,刘昊,杨添淞,冯楚文,李书霖..基于数据挖掘分析脑小血管疾病的中医证候特点和用药规律[J].实用临床医药杂志,2025,29(8):6-11,6.基金项目
国家自然科学基金面上项目(82074539) （82074539）
黑龙江省自然科学基金项目(LH2021H093) （LH2021H093）
黑龙江省中医药经典普及化研究专项课题项目(ZYW2024-015) （ZYW2024-015）
