基于数据挖掘对古方治疗慢性肝病的探讨
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R575

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Analysis of Ancient Prescriptions for Chronic Liver Disease Based on Data Mining
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    摘要:

    目的:探究传统中医治疗慢性肝病的用药特色。方法:收集中医古籍丛书《中华医典》中治疗慢性肝病的方剂,运用Excel软件建立慢性肝病处方的数据库,采用SPSS17.0和IBM SPSS MODELER 18.0软件对数据进行关联规则分析和聚类分析。结果:药物的出现频次以补益药为最多,其次为活血祛瘀药、理气药、清热药。关联规则分析结果是三棱和莪术、木香和槟榔、甘草和川芎为最常配伍药。聚类分析表明莪术和三棱关联度最高。结论:基于《中华医典》为数据库的数据分析,提示中药治疗慢性肝病有一定的规律可循,可为临床提供参考。

    Abstract:

    Objective:To explore the medication features of Chinese medicine for chronic liver disease.Methods:Collected the prescriptions of chronic liver disease in ancient Chinese medicine literature of Chinese Medical Book(Zhong Hua Yi Dian),established the database of prescriptions of chronic liver disease by Excel software,and conducted association rules analysis and cluster analysis on data by software of SPSS17.0 and IBM SPSS MODELER 18.0.Results:In terms of the frequency, that of reinforcing medicine was the highest, followed by blood-activating and stasis-resolving medicine,qi-regulating medicine and heat-clearing medicine.The result of association rules analysis showed that Rhizoma Sparganii and Rhizoma Curcumae,Radix Aucklandiae and Semen Arecae,and Radix et Rhizoma Glycyrrhizae and Rhizoma Chuanxiong were the most common compatible medications.The result of cluster analysis indicated that the correlation of Rhizoma Sparganii and Rhizoma Curcumae was the highest.Conclusion:Data analysis based on database of Chinese Medical Book(Zhong Hua Yi Dian)suggests that there are certain rules in Chinese medicine for chronic liver disease,which can provide a reference for clinical practice.

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鲁佩佩,黄志有.基于数据挖掘对古方治疗慢性肝病的探讨[J].新中医,2018,50(12):49-52

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  • 在线发布日期: 2018-12-09
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