基于数据挖掘探析柳宝诒治疗痢疾的用药规律.docx
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1、基于数据挖掘探析柳宝诒治疗痢疾的用药规律孙小娟(陕西中医药大学陕西咸阳712046)摘要:目的:探析出柳宝诒治疗痢疾的用药规律。方法:本文所采用的研究方法选用统 计出温病学流派医案六、柳选四家医案中有关治疗痢疾处方所含中药,并将药物名 称进行规范化处理,从而便于分别查处其药性、四气、五味及归经,进一步借助MiCrOSOft Excel 2016、SPSS Statistic 26.0、SPSS Modeler 14. 1 软件建立痢疾用药数据库,对药 物频数、高频用药关联、聚类分析。通过对众多中医名家治疗痢疾所用处方采用多种数据分 析软件相结合方式进行数据深挖后,结果:整理柳宝诒处方64首,使
2、用中药141味,其中 24味高频药物(频率大于15%)。高频药物:木香、当归、枳壳、白芍、砂仁、茯苓、白术、 黄苓、荷叶、山楂、神曲、赤芍、陈皮、藕、炙甘草、桔梗、牡丹皮、厚朴、川茸、党参、 地黄、荷叶蒂、黄连、黄茂。关联分析:当归T赤芍,木香T赤芍,木香T枳壳+当归,木香 T赤芍+当归等17对药物关联。聚类分析得出5组多味药物的聚合组及10组药对聚合组。 C1:枳壳、桔梗、山楂、赤芍、藕、木香、黄琴、当归、地黄、牡丹皮;C2 :荷叶、神曲; C3:厚朴、黄连、陈皮;C4:砂仁、茯苓;C5:白术、党参、炙甘草、黄茶、白芍、荷叶蒂。 药对聚合组:A1:枳壳、桔梗;A2:山楂、川萼;A3:赤芍、藕
3、;A4:当归、地黄;A5:荷 叶、神曲;A6:黄连、厚朴;A7:砂仁、茯苓;A8:党参、白术;A9:炙甘草、黄茶;A10: 白芍、荷叶蒂。结论:通过对众多痢疾用药处方进行数据纵深挖掘后,得出了柳宝诒治疗痢 疾显著用药特点及规律对临床治疗痢疾提供了有力的理论指导。Abstract: Objective: To explore the rule of Iiu Baoyi,s treatment of dysentery. Methods: The research method adopted in this paper is to select the statistics of TCM in
4、the relevant dysentery prescriptions in the medical Case of The School of Febrile Diseases and the Medical Case of the Four Families of Liu Xuan, and to standardize the drug names, so as to facilitate the investigation of their properties, four qi, five tastes and meridian. Further, using Microsoft
5、Excel 2016, SPSS Statistic 26.0 and SPSS Modeler 14.1 software, the dysentery medication database was established, and the drug frequency and high frequency medication association and cluster analysis were performed. The results showed that 64 prescriptions of Liubao,s history were collated and 141
6、traditional Chinese medicines were used, among which 24 were high frequency medicines (frequency more than 15%).High-frequency drugs: Radix Aucklandiae, Angelica, Fructus aurantii9 Radix paeoniae9 Amomum, Poria cocos, Atractylodes atractylodes, Scutellaria baicalensis, Lotus leaf, Hawthorn, Holy Spi
7、rit, radix paeoniae, Tangerine peel, Lotus root, processed glycyrrhiza, Radix platycodon, Cortex moutan, Magnolia officinalis, Ligusticum chuanxiong, Codonopsis pilosula, Rehmannia glutinosa, Rhizoma coptidis, Astragalus membranaceus. Association analysis: 17 pairs of drugs were associated with ange
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- 基于 数据 挖掘 探析 柳宝诒 治疗 痢疾 用药 规律
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