引用本文: | 杨伟金,王婷婷,朱燕舞,朱珊珊,陈静.基于数据挖掘研究含白术-茯苓药对方剂的组方规律分析[J].中国现代应用药学,2024,41(14):19-28. |
| Yang Weijin,Wang Tingting,Zhu Yanwu,Zhu Shanshan,Chen Jing.Data mining-based analysis of formulation rules for prescriptions containing Atractylodis Macrocephalae Rhizoma-Poria cocos drug pair[J].Chin J Mod Appl Pharm(中国现代应用药学),2024,41(14):19-28. |
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摘要: |
目的 基于《中医方剂大辞典》,整理分析含白术-茯苓药对的方剂的配伍规律,为其临床用药及科学研究提供参考。方法 检索筛选含白术-茯苓药对的方剂,提取筛选所得方剂中白术、茯苓炮制品、剂量、配比等相关数据,并进行标准化处理,利用Excel 软件和IBM SPSS Modeler 18.0 软件进行数据挖掘。结果 3535首方剂中共涉及578味中药,以甘温类药物为主,多归肝经;共涉及 18 种功效,以补益、祛湿等功效为主,主治脾胃兼证、气血亏虚证和水湿浸渍证。白术-赤茯苓药对与补益、祛湿呈强关联;麸炒白术-茯苓药对与补益呈强关联。白术、茯苓用药剂量以≤15g为主,配比以1:1为主,均与补益作用呈强关联。与白术-茯苓药对配伍的高频中药中,陈皮、半夏等10味药用于脾胃兼证,当归、人参等8味药用于气血亏虚证,泽泻、肉桂等8味药用于水湿浸渍证。结论 通过数据挖掘方法,分析含白术-茯苓药对方剂及对不同主治证候的用药规律和配伍特点,为其今后的研究开发及临床应用提供重要参考。 |
关键词: 白术-茯苓 药对 数据挖掘 Apriori 算法 配伍特征 用药规律。 |
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基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目) |
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Data mining-based analysis of formulation rules for prescriptions containing Atractylodis Macrocephalae Rhizoma-Poria cocos drug pair |
Yang Weijin, Wang Tingting, Zhu Yanwu, Zhu Shanshan, Chen Jing
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Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University
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Abstract: |
OBJECTIVE Based on the Dictionary of Traditional Chinese Medicine Prescriptions, to sort out and analyze the compatibility rules of prescriptions containing Atractylodis Macrocephalae Rhizoma-Poria cocos (AMR-PC) drug pairs, so as to provide reference for clinical use and scientific research. METHODS The prescriptions containing AMR and PC were searched and screened, and the relevant data of AMR and PC products, dosage and ratio were extracted and standardized. Data mining was carried out by Excel software and IBM SPSS Modeler 18.0 software. RESULTS The 3535 prescriptions involved a total of 578 traditional Chinese medicines (TCM), mainly sweet and warm drugs, mostly under the liver channel; A total of 18 kinds of effects are involved, mainly in the functions of tonifying and dispelling dampness, treating spleen and stomach syndrome, Qi and blood deficiency syndrome and water-wet impregnation syndrome. AMR-Rubra Poria drug pairs were strongly related to tonifying and dispelling dampness. Stir-fried AMR-PC drug pairs were strongly associated with tonic. The dosage of AMR and PC were mainly ≤15g, and the ratio was mainly 1:1, which were strongly correlated with the beneficial effect. Among the high frequency TCM compatible with AMR and PC, 10 kinds of medicines such as Citrus reticulata Blanco and Pinellia ternata (Thunb.) Breit. were used for spleen and stomach syndrome, 8 kinds of medicines such as Angelica sinensis (Oliv.) Diels and Panax ginseng were used for Qi and blood deficiency syndrome, and 8 kinds of medicines such as Alisma plantago-aquatic and Cinnamomum cassia were used for water-wet dip syndrome. CONCLUSION By data mining method, the prescription of AMR-PC drug pairs and different indications were analyzed, so as to provide important reference for its future research and development and clinical application. |
Key words: Atractylodis Macrocephalae Rhizoma-Poria cocos drug pair data mining Apriori algorithm compatibility characteristics drug use rule. |