目的 通过数据挖掘含黄芪-茯苓的方剂，分析其用药规律。方法 检索筛选《中医方剂大辞典》中含黄芪-茯苓药对的方剂，利用Excel软件建立黄芪-茯苓药对数据库，并利用古今医案云平台统计分析中药使用频次、频率、性味归经及主治中医病证频次，运用SPSS statistics 29.0、IBM SPSS Modeler 18.0软件进行关联规则、聚类分析、公因子分析等数据挖掘。结果 通过统计共筛选出含黄芪-茯苓药对的方剂1 421首，频次统计分析发现涉及中药415味，使用频次≥200的中药共22味，除黄芪、茯苓外，核心高频药物为人参、当归、甘草等。通过组方规律分析得到常用中药组合有黄芪-人参-茯苓、黄芪-甘草-茯苓、黄芪-当归-茯苓等。主治病证涉及133种，频次≥20的中医病证有10种，以治疗虚劳、疮疡和产后证等为主，通过网络可视化得到治疗虚劳的核心中药组合为黄芪-茯苓-人参-甘草-肉桂，治疗疮疡的核心中药组合为黄芪-茯苓-人参-当归-甘草，治疗产后证核心中药组合为黄芪-茯苓-人参-当归。结论 与黄芪-茯苓配伍的高频中药为人参、当归、甘草等，其治疗的优势病症为虚劳病、疮疡和产后证。黄芪-茯苓药对在方剂中组方规律的揭示，为其临床合理用药及深入研究与开发提供了科学依据。

Objective To analyze the medication rules by data mining prescriptions containing Huangqi (Astragali Radix) and Fuling (Poria) herb pairs. Methods The prescriptions containing Astragali Radix and Poria herb pairs in the Dictionary of TCM Prescriptions were searched and screened, and the database of Astragali Radix and Poria herb pairs was established by using Excel software, and use the ancient and modern basis cloud platform website statistical analysis of traditional Chinese medicine (TCM) using frequency, frequency, and sexual flavour to the attending doctor of traditional Chinese medicine disease frequency. SPSS Statistics 29.0 and IBM SPSS Modeler 18.0 were used for data mining such as association rules, cluster analysis and common factor analysis. Results A total of 1 421 prescriptions containing Astragali Radix and Poria herb pairs were selected by statistical analysis. Frequency statistical analysis showed that 415 TCMs were involved, and 22 TCMs with frequency ≥ 200 were used. Besides Astragali Radix and Poria drug pairs, the core high-frequency drugs were Renshen (Ginseng Radix et Rhizoma), Danggui (Angelicae Sinensis Radix) and Gancao (Glycyrrhizae Radix et Rhizoma). Through the analysis of the rule of formulation, the commonly used Chinese medicine combinations are Astragali Radix-Ginseng Radix et Rhizoma-Poria, Astragali Radix-Glycyrrhizae Radix et Rhizoma-Poria, Astragali Radix-Angelicae Sinensis Radix-Poria and so on. The main treatment syndromes involved 133 kinds, and there were 10 kinds of TCM syndromes with frequency ≥ 20, mainly for the treatment of ascinia, sore and postpartum syndrome, etc. The core TCM combination for the treatment of ascinia was Astragali Radix-Poria-Ginseng Radix et Rhizoma-Glycyrrhizae Radix et Rhizoma-Rougui (Cinnamomi Cortex), and the core TCM combination for the treatment of sore was Astragali Radix-Poria-Ginseng Radix et Rhizoma-Angelicae Sinensis Radix-Glycyrrhizae Radix et Rhizoma. The core Chinese medicine combination for treating postpartum syndrome is Astragali Radix-Poria-Ginseng Radix-Angelicae Sinensis Radix. Conclusion Ginseng Radix et Rhizoma, Angelicae Sinensis Radix, and Glycyrrhizae Radix et Rhizoma were the most commonly used Chinese medicines with Astragali Radix and Poria drug pairs, and the dominant diseases were deficiency and fatigue disease, sore and postpartum syndrome. This study revealed the drug use law of Astragali Radix and Poria herb pairs, and provided scientific basis for rational clinical use and further research and development of Astragali Radix and Poria herb pairs.

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宁夏重点研发计划重点项目（2023BEG02015）；宁夏科技惠民计划项目（2022CMG03064）；宁夏医科大学科研项目资助项目（XM2023131）；大学生创新创业训练计划项目（X202410752142）；国家中医药管理局青年岐黄学者计划项目（2020）：赵建军全国老药工传承工作室建设项目（国中医药人教函[2024]255号）