节点文献
基于数据挖掘分析古今中医治疗干眼症的用药规律
Analysis of Drug Use Laws of Ancient and Modern TCM in Treating Xeroma Based on Data Mining
【摘要】 目的:利用频数分析法和聚类分析法对治疗干眼症的中药进行统计分析,进一步探讨用药规律。方法:检索中医药治疗干眼症有关古医籍和现代文献报道,摘录中药治疗干眼症的条文,统一标准化命名中药,建立数据库,进行归纳、分类、整理。结果:共涉及方剂75首,中药164味。1)频次:按频次排序,前10位的药味依次是甘草、枸杞子、熟地黄、麦冬、菊花、当归、白芍、茯苓、牡丹皮、玄参;前10位的中药类别依次是补阴药、补气药、补血药、发散风热药、清热凉血药、清热泻火药、利水消肿药、清热燥湿药、活血调经药、利尿通淋药。未使用祛风湿类药、驱虫药和涌吐药。2)聚类:所有药物频次总计695次,频次≥8次以上的23种药物经过聚类分析显示,古今用药四气偏向不明显,大多味甘,归肝、肾、心经,功效大多涉及滋阴、补血、明目、止痛等作用,兼顾清热、除湿、活血、疏肝等作用。结论:利用频数分析法和聚类分析法可较好地挖掘中医治疗干眼症的用药规律,并能结合临床,建立假说,指导用药,但更全面更确切的用药经验尚需进一步深入研究和探讨。
【Abstract】 Objective: To analyze statistically the herbs of treating xeroma by using frequency analysis method and clustering methodology, and further explore drug use laws. Methods: The associated medical books in ancient time and modern literature report of treating xeroma were retrieved, the articles of herbs in treating xeroma were extracted, and the herbs were named according to the single standard, the database was established, concluded,classified and arranged. Results: All 75 pieces of prescriptions and 164 kinds of herbs were involved. 1) Frequency:the herbs ranked according to the frequency, the top ten herbs were Gan Cao(Glycyrrhiza uralensis Fisch.), Gou Qi Zi(the fruit of Chinese wolfberry), Shu Di Huang(prepared rehmannia root), Mai Dong(Radix Ophiopogonis), Ju Hua(chrysanthemum), Dang Gui(Angelica sinensis), Bai Shao(radices paeoniae alba), Fu Ling(Poria cocos), Mu Dan Pi(tree peony bark) and Xuan Shen(radix scrophulariae); the top ten herbs classifications were herbs of Yin-nourishing,Qi-tonifying, blood-enriching, dispersing wind-heat, heat-clearing blood-cooling, heat-clearing fire-reducing, inducing diuresis for removing edema, heat-clearing damp-drying, blood-activating menstruation-regulating and inducing diuresis for treating strangurtia. No antirheumatic, antiscolic and emetic prescription was used. 2) Clustering: the frequencies of all the drugs were 695 times, 23 kinds of herbs in the frequency above than eight times were performed by clustering analysis, and the results showed that the herbs of treating xeroma didn′ t come under any kind of four properties, most of them were sweet and of the meridians of liver, kidney and heart, the effects mostly involved Yin-nourishing, tonifying blood, improving eyesight, stopping the pain and others, and clearing heat,eliminating damp, activating blood and dredging liver. Conclusion: Frequency analysis method and clustering analysis could be used to dig drug use law of TCM in treating xeroma, and they could be combined with clinical work to build the hypothesis and guide the medication, while comprehensive and definite drug use law needs to be further studied and discussed.
【Key words】 xeroma; prescription formation and drug use; ancient and modern; data mining;
- 【文献出处】 西部中医药 ,Western Journal of Traditional Chinese Medicine , 编辑部邮箱 ,2018年07期
- 【分类号】R276.7
- 【被引频次】13
- 【下载频次】435