肺纤维化“病-证-方-药”证治规律的多维频繁模式挖掘分析  

Multi-dimensional Frequent Pattern Mining on"Disease-Syndrome-Prescription-Medicine"Treatment Rules of Pulmonary Fibrosis

作　　者：程钰 曹芳[2] 吴志松[2] 李阳 蔡耀东 焦扬[2] CHENG Yu;CAO Fang;WU Zhisong;LI Yang;CAI Yaodong;JIAO Yang(The Second Clinical School of Beijing University of Chinese Medicine,Beijing China 100078;Dongfang Hospital Affiliated to Beijing University of Chinese Medicine,Beijing China 100078)

机构地区：[1]北京中医药大学第二临床医学院,北京100078 [2]北京中医药大学东方医院,北京100078

出　　处：《中医学报》2025年第4期716-722,共7页Acta Chinese Medicine

摘　　要：目的:本研究旨在挖掘肺纤维化的“病-证-方-药”证治规律,以及探索二维共现联合频繁模式挖掘方法用于中医证治规律挖掘的价值。方法:检索中文数据库建立肺纤维化“病-证-方-药”数据库。R语言构建二维共现关系,采用多维频繁模式规则计算共现程度,并以可视化形式展现。结果:(1)肺肾气虚兼痰浊血瘀,阴虚内热兼痰浊血瘀,肺气虚证兼痰浊血瘀是肺纤维化最常见的中医证候;(2)肺、肾、脾为最常见的病位证素,气虚、血瘀、痰、阴虚、热、毒是最常见的病性证素;(3)“证候-方剂”规则中“血瘀证-血府逐瘀汤”“肺气虚证兼血瘀-补阳还五汤”“阴虚内热兼痰浊-清燥救肺汤”“肺肾气虚兼痰浊-补肺汤”“肺肾气阴两虚兼血瘀-麦味地黄丸”关联最密切;(4)气虚、阴虚、血瘀、痰、热5个病性及关联中药为肺纤维化的核心病机及核心用药。结论:本研究获得了较同类型数据挖掘研究更为准确、灵活的“病-证-方-药”证治规律网络,对于指导临床诊治肺纤维化具有重要意义;本研究创新性地结合了二维共现模式及多维频繁模式的方法进行中医经验数据挖掘,该方法结果准确,方法简便易于推广,对于中医传承发展具有重要作用。Objective:The aim of this study is to explore the"disease-syndrome-prescription-medicine"treatment rules of pulmonary fibrosis,and to explore the value of two-dimensional co-occurrence combined with frequent pattern mining method for mining the rule of Chinese medicine treatment.Methods:The Chinese database was searched to establish the database"Disease-syndrome-prescription-medicine"in treatment of pulmonary fibrosis,and the two-dimensional co-occurrence relationship was constructed with R language.The degree of co-occurrence was calculated by using the multi-dimensional frequent pattern rule and was visualized in presentation.Results:(1)Lung and Kidney Qi deficiency with Phlegm and blood stasis,Yin deficiency and internal Heat with Phlegm and blood stasis,Lung Qi deficiency with Phlegm and blood stasis were the most common TCM syndromes of pulmonary fibrosis;(2)Lung,Kidney and Spleen were the most common symptom factors of disease location,and Qi deficiency,blood stasis,Phlegm,Yin deficiency,Heat,and Toxin were the most common symptom factors of disease nature of the disease;(3)Among the"syndrome-prescription"rules,the closest link exists in the followings patterns:blood stasis syndrome-Xuefu Zhuyu Decoction,Lung Qi deficiency and stasis syndrome-Buyang Huanwu Decoction,Yin deficiency Inner Heat with Phlegm and Turbidity syndrome-Qingzao Jiufei Decoction,Lung and Kidney Qi deficiency with Phlegm and Turbidity syndrome-Bufei Decoction and Lung and Kidney Qi and Yin deficiency with blood stasis syndrome-Maiwei Dihuang Pill;(4)In aspect of the disease nature,Qi deficiency,Yin deficiency,blood stasis,Phlegm,and Heat associated Chinese medicines are the core pathologies of pulmonary fibrosis and the core medicines used.Conclusion:This study obtained a more accurate and flexible network of"disease-syndrome-prescription-medicine"treatment rules than the same type of data mining research,which is of great significance for guiding the clinical diagnosis and treatment of pulmonary fibrosis;this study innovatively combine

关 键 词：肺纤维化 “病-证-方-药” 证治规律 二维共现 多维频繁模式 机器学习 R语言 

分 类 号：R256.1[医药卫生—中医内科学]