基于数据挖掘技术分析中医药治疗尿频病用药规律
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R256.5

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广东省中医药局科研项目(20201308)


Analysis of Medication Patterns in Traditional Chinese Medicine for Frequent Urination Based on Data Mining Technology
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    摘要:

    目的:运用古今医案云平台软件分析中医药治疗尿频病的用药规律。方法:检索中国知网、万方、维普数据库自建库至2025年7月31日公开发表的中医药治疗尿频病的相关文献,提取中药处方数据,应用古今医案云平台软件的数据挖掘模块进行药物频次的统计、属性分析、关联分析、层次聚类分析及复杂网络分析。结果:共检索到122首中药处方,涉及中药205味。使用频次排名前5的中药依次为甘草、益智仁、黄芪、茯苓、山药。中药四气以平为主,五味以甘为主,归经以肾为主,功效以清热解毒、固精缩尿为主。关联规则分析,排名前3的药对依次是益智仁-桑螵蛸、益智仁-山药、益智仁-黄芪。聚类分析共得到3个聚类。复杂网络分析结果得出的核心处方为缩泉丸合四君子汤加减。结论:中医药治疗尿频以固精缩尿、清热解毒为主,辅以补脾益气、利湿通淋,强调甘平入肾、整体调理,体现辨证论治与个体化治疗特点。

    Abstract:

    Abstract: Objective: To analyze the medication patterns of traditional Chinese medicine in treating frequent urination using the Ancient and Modern Medical Case Cloud Platform. Methods: Relevant literature on traditional Chinese medicine treatment of frequent urination published from the inception of the databases to July 31, 2025 was retrieved from China National Knowledge Infrastructure( CNKI),Wanfang Data Knowledge Service Platform( Wanfang), and China Science and Technology Journal Database (VIP). Prescription data were extracted, and the data mining module of the Ancient and Modern Medical Case Cloud Platform was used for frequency analysis, property analysis, association analysis, hierarchical cluster analysis, and complex network analysis. Results: A total of 122 Chinese medicine prescriptions were retrieved,involving 205 Chinese herbs. The top five herbs in terms of frequency of use were Glycyrrhizae Radix et Rhizoma,Alpiniae Oxyphyllae Fructus,Astragali Radix,Poria,and Dioscoreae Rhizoma. The dominant medicinal properties were neutral,the dominant flavor was sweet,and the primary meridian tropism was the kidney. The main therapeutic effects were clearing heat and removing toxicity, and arresting emission and reducing urination. Association rule analysis showed that the top three herb pairs were Alpiniae Oxyphyllae Fructus-Mantidis Ootheca, Alpiniae Oxyphyllae Fructus-Dioscoreae Rhizoma, and Alpiniae Oxyphyllae Fructus-Astragali Radix. Cluster analysis identified three clusters. The core prescription derived from complex network analysis was modified Suoquan Pills plus Sijunzi Decoction. Conclusion: Traditional Chinese medicine treatment of frequent urination primarily focuses on arresting emission and reducing urination,and clearing heat and removing toxicity,supplemented by tonifying the spleen and benefiting qi, and draining dampness and relieving strangury. The treatment emphasizes sweet and neutral herbs acting on the kidney with holistic regulation, reflecting the characteristics of syndrome differentiation and individualized treatment.

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沈怡君,林峰.基于数据挖掘技术分析中医药治疗尿频病用药规律[J].新中医,2026,58(19):205-211

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  • 在线发布日期: 2026-10-16
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