[1]井鹏辉,王明哲,于维霞,等.基于数据挖掘探讨“清化通调”法治疗支气管扩张的用药规律[J].西部中医药,2025,38(12):48-52.[doi:10.12174/j.issn.2096-9600.2025.12.11]
 JING Penghui,WANG Mingzhe,YU Weixia,et al.Exploring the Medication Rules of "Clearing, Resolving, Dredging and Regulating" Method in the Treatment of Bronchial Dilatation Based on Data Mining[J].Western Journal of Traditional Chinese Medicine,2025,38(12):48-52.[doi:10.12174/j.issn.2096-9600.2025.12.11]
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基于数据挖掘探讨“清化通调”法治疗支气管扩张的用药规律()

《西部中医药》[ISSN:2096-9600/CN:62-1204/R]

卷:
38
期数:
2025年12期
页码:
48-52
栏目:
二次研究
出版日期:
2025-12-15

文章信息/Info

Title:
Exploring the Medication Rules of "Clearing, Resolving, Dredging and Regulating" Method in the Treatment of Bronchial Dilatation Based on Data Mining
作者:
井鹏辉, 王明哲, 于维霞, 周翠, 刘瑞芬, 程淼
北京中医药大学东直门医院,北京 100700
Author(s):
JING Penghui, WANG Mingzhe, YU Weixia, ZHOU Cui, LIU Ruifen, CHENG Miao
Dongzhimen Hospital of Beijing University of Chinese Medicine, Beijing 100700, China
关键词:
支气管扩张真实世界数据用药规律数据挖掘
Keywords:
bronchial dilatationreal world datamedication rulesdata mining
分类号:
R256.13
DOI:
10.12174/j.issn.2096-9600.2025.12.11
文献标志码:
A
摘要:
目的基于临床病历信息系统,采用数据挖掘方法分析中医药治疗支气管扩张的用药规律。 方法收集2014年12月至2020年12月北京中医药大学东直门医院病历系统中诊断为支气管扩张症患者的用药信息,建立Excel数据库。采用Microsoft Office Excel软件对高频药物的频数、五味、归经及功效进行描述性统计;借助SPSS Modeler 18.0软件中Apriori算法对核心数据进行关联规则分析,并用Web节点构建关联网状图;借助SPSS Statistics 26.0进行聚类分析。 结果共纳入150例支气管扩张症患者,使用频次最高的药物为薏苡仁、半夏、甘草、黄芩;药物四气以微寒性药最多,其次为寒性药和温性药;五味以甘味药最多,其次为苦味药、淡味药;归经以肺、脾、胃经频率最高;高频药物功效分类频率最高为补虚药,其次为清热药、化痰药、利水渗湿药。关联规则结果显示:二项关联结果前三位置信度最高的依次为薏苡仁→冬瓜子、薏苡仁→芦根、薏苡仁→桃仁;三项关联结果前三位置信度最高的依次为冬瓜子→桃仁、芦根;黄芩→瓜蒌、半夏;半夏→生姜、柴胡。聚类结果共聚为四类药物。 结论支气管扩张症的治疗遵循武维屏教授提出的“清化通调”大法,多用小柴胡汤、千金苇茎汤、麻杏甘石汤化裁。
Abstract:
ObjectiveTo analyze the medication rules of TCM therapies for bronchial dilatation (BD) using data mining method based on the clinical medical record information system. MethodsThe medication informa-tion of the patients diagnosed with BD in the clinical medical record information system of Dongzhimen Hospital of Beijing University of Chinese Medicine from December, 2014 to December, 2020 was collected to establish Excel database. Microsoft Office Excel was adopted to perform descriptive statistics of the frequencies, five flavors, meridian tropism and the efficacy of high-frequency medicines, association rules of the core data were analyzed using Apriori algorithm via SPSS Modeler 18.0, and Web nodes were employed to build association network; and cluster analysis was conducted via SPSS Statistics 26.0. ResultsThe study included 150 BD patients, and the highest frequency medicines were Yiyiren (Coicis semen), Banxia (Pinelliae rhizoma), Gancao(Glycyrrhizae radix et rhizoma), and Huangqin (Scutellariae radix); In terms of four properties, the slight cold-nature drugs were applied the most, cold-nature and warm-nature drugs the next; regarding five flavors, sweet-flavored drugs were used the most, bitter-flavored drugs and light-flavored drugs were the next; the drugs belonged to the meridians of lung, spleen and stomach mostly; Among the high-frequency drugs, tonics were applied in the highest frequency, clearing-heat drugs, resolving-phlegm ones, and the ones of promoting diuresis were the next. The results of association rules displayed that the top three confidence levels of the binary association results were Yiyiren (Coicis semen)→Dongguazi (semen benincasae), YiyirenLugen(Phragmitis rhizoma), YiyirenTaoren (Persicae semen); the top three confidence levels of the three association results were DongguaziTaoren and Lugen; Huangqin (Scutellariae radix)→Gualou (Trichosanthis fructus) and Banxia (Pinelliae rhizoma), Banxia-ginger and Chaihu (Bupleuri Radix). The clustering results were clustered into four categories of medicines. ConclusionThe treatment of BD follows the method of clearing, resolving, dredging and regulating raised by professor Wu Weiping, mostly applying modified Xiao Chaihu decoction, Qianjin Weijing decoction and Maxing Ganshi decoction. .

相似文献/References:

[1]王永兰,王芬△.支气管扩张咯血的中西医结合护理[J].西部中医药,2015,28(08):140.

备注/Memo

备注/Memo:
国家自然科学基金面上项目(81973784);北京中 医药大学青年教师项目(2019-JYB-JS-040)。 作者简介:井鹏辉(1998—),男,在读硕士研究生。研究方 向:中医药防治呼吸系统疾病。 △通讯作者:程淼(1982—),女,博士学位,硕士研究生导师, 副主任医师。研究方向:中医药防治呼吸系统疾病。Email: chengxinxin321@126.com。
更新日期/Last Update: 2025-12-15