[1]文瑾,谢琳,刘勤△,等.基于数据挖掘分析古今中医治疗干眼症的用药规律[J].西部中医药,2018,31(07):69-72.
　WEN Jin,XIE Lin,LIU Qin,et al.Analysis of Drug Use Laws of Ancient and Modern TCM in Treating Xeroma Based on Data Mining[J].Western Journal of Traditional Chinese Medicine,2018,31(07):69-72.
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基于数据挖掘分析古今中医治疗干眼症的用药规律()
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《西部中医药》[ISSN:2096-9600/CN:62-1204/R]

卷:
31
期数:
2018年07期
页码:
69-72
栏目:
出版日期:
2018-07-15

文章信息/Info

Title:
Analysis of Drug Use Laws of Ancient and Modern TCM in Treating Xeroma Based on Data Mining
文章编号:
1004-6852(2018)07-0069-04
作者:
文瑾1，谢琳2，刘勤1△，白惠玲1，王虎平3，吴红彦3
1 甘肃省人民医院眼科，甘肃 兰州 730000； 2 甘肃中医药大学中医临床学院； 3 甘肃中医药大学研究生院
Author(s):
WEN Jin1, XIE Lin2, LIU Qin1△, BAI Huiling1, WANG Huping3, WU Hongyan3
1 Ophthalmology, Gansu Provincial Hospital, Lanzhou 730000, China; 2 Clinical College, Gansu University of Chinese Medicine; 3 Graduate School, Gansu University of Chinese Medicine
关键词:
干眼症; 组方用药; 古今; 数据挖掘
Keywords:
xeroma;  prescription formation and drug use;  ancient and modern;  data mining
分类号:
R473.5
文献标志码:
A
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 GanCao(Glycyrrhiza uralensis Fisch.), GouQiZi (the fruit of Chinese wolfberry), ShuDiHuang(prepared rehmannia root), MaiDong(Radix Ophiopogonis), JuHua (chrysanthemum), DangGui(Angelica sinensis), BaiShao (radices paeoniae alba), FuLing(Poria cocos), MuDanPi (tree peony bark) and XuanShen (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.

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备注/Memo

备注/Memo:
收稿日期：2018-01-01 *基金项目：甘肃省中医药管理局科研课题(编号GZK-2017-46)。 作者简介：文瑾(1969—)，女，副主任医师。研究方向：眼表疾病的诊治。 △通讯作者：刘勤(1964—)，男，主任医师。研究方向：眼表疾病的诊治。
更新日期/Last Update: 2018-07-15