首页|基于R语言数据挖掘间质性肺病(肺痹)的古代源流与方药规律

基于R语言数据挖掘间质性肺病(肺痹)的古代源流与方药规律

扫码查看
目的 通过系统梳理间质性肺病(肺痹)的中医理论源流,并基于R语言数据挖掘分析中医古籍治疗肺痹的用药规律,为现代中医临床诊疗提供参考。方法 通过查阅专业书籍,确定以"肺痹"为检索词,对第5版《中华医典》《中医药古籍数据库》及《广中医古籍数据库》中符合纳入标准的条文进行提取,探讨肺痹的理论发展源流,基于R语言平台(V4。2。3)对中药处方进行频次分析、关联规则分析以及聚类分析、Phi相关性分析等。结果 肺痹的中医病名及病因病机制论首见于《黄帝内经》,隋唐时期沿袭其理论并继承发展,宋朝《圣济总录》首次单列肺痹章节,并提出治法方药,进一步发展了肺痹理论,明清时期记载的肺痹条文占80%以上,理法方药趋于完善。筛选得到治疗肺痹的方剂45首,中药112味,中药频次居于前五位依次为杏仁、陈皮、瓜蒌、人参和茯苓,关联规则分析得到最为常用的药对:郁金-杏仁,瓜蒌-杏仁,瓜蒌-郁金-杏仁等,聚类分析得到2个核心药物组方:瓜蒌-郁金-杏仁-栀子-贝母-桑叶,陈皮-茯苓-半夏-人参-白术-甘草-紫菀-桔梗。结论 古籍论治肺痹的病机关键是"郁、痰、瘀、虚",形成的核心处方用药符合以行气开痹、化痰祛瘀、补虚通络的治疗原则,可为肺痹分期的临床诊治、后续开展临床研究及新药研发提供参考。
Ancient Origin and Prescription Laws of Interstitial Lung Disease(Feibi)Based on R Language Data Mining
Objective To provide a reference for modern Chinese medicine clinical diagnosis and treatment by systematically combing the Chinese theoretical origin of interstitial lung disease(Feibi)and analyzing the prescription laws of ancient Chinese medicine books for the treatment of Feibi based on R-language data mining.Methods The search term"Feibi"was identified by reviewing specialized books,and the articles that met the inclusion criteria were extracted from the 5th edition of Chinese Medical Dictionary,Database of Ancient Books of Traditional Chinese Medicine and Database of Ancient Books of Guangzhou University of Chinese Medicine,to explore the theoretical development of the Feibi,and the frequency,association rules,clustering and Phi correlation analyses were carried out on the prescriptions of traditional Chinese medicines based on the R language platform(V4.2.3).Results The origin of Chinese medicine theory of feibi was summarized and found that it was first mentioned in Inner Canon of Huangdi,inherited and developed in the Sui and Tang Dynasties,and was first listed in General Medical Collection of Royal Benevolencein the Song Dynasty,which developed the theory of Feibi by proposing formulas and medicines for its treatment,and more than 80%of the articles in the Ming and Qing Dynasties tended to be perfected.The screening obtained 45 prescriptions for Feibi,112 herbal medicines,and the frequency of Chinese medicines in the first five places were Xingren(Armeniacae Semen Amarum),Chenpi(Citri Reticulatae Pericarpium),Gualou(Trichosanthis Fructus),Renshen(Ginseng Radix Et Rhizoma)and Fuling(Poria),and the most commonly used pairs of medicines were analyzed by the association rules:Yujin(Curcumae Radix)-Xingren(Armeniacae Semen Amarum),Gualou(Trichosanthis Fructus)-Xingren(Armeniacae Semen Amarum),Gualou(Trichosanthis Fructus)-Yujin(Curcumae Radix)-Xingren(Armeniacae Semen Amarum).The clustering analysis obtained two core medicines formulas:The first of which was Gualou(Trichosanthis Fructus)-Yujin(Curcumae Radix)-Xingren(Armeniacae Semen Amarum)-Zhizi(Gardeniae Fructus)-Beimu(Fritillariae Cirrhosae Bulbus)-Sangye(Mori Folium),and the second of which was Chenpi(Citri Reticulatae Pericarpium)-Fuling(Poria)-Banxia(Pinelliae Rhizoma)-Renshen(Ginseng Radix Et Rhizoma)-Baizhu(Atractylodis Macrocephalae Rhizoma)-Gancao(Glycyrrhizae Radix Et Rhizoma)-Ziwan(Asteris Radix Et Rhizoma)-Jiegeng(Platycodonis Radix).Conclusion The key to the treatment of Feibi is"depression,phlegm,stasis and deticiency",and the core prescription is in line with the therapeutic principles of promoting Qi and dispelling paralysis,resolving phlegm and expelling blood stasis,and tonifying the deficiency and opening up the collaterals,which can be used as a reference for the clinical diagnosis and treatment of Feibi as well as for the development of the follow-up research and development of new medicines.

interstitial lung diseaseFeibiR languagetheoretical source flowdata mining

朱梦婷、刘志航、李航、林杏华、童晓萍、吴蕾、林琳、陈远彬

展开 >

广州中医药大学第二临床医学院,广东 广州 510405

深圳市宝安区中医院,广东 深圳 518133

广东省中医院呼吸与危重症医学科,广东 广州 510120

间质性肺病 肺痹 R语言 理论源流 数据挖掘

2025

辽宁中医药大学学报
辽宁中医药大学

辽宁中医药大学学报

影响因子:0.775
ISSN:1673-842X
年,卷(期):2025.27(1)