关联规则在名医临证经验分析挖掘中的应用

Application of Association Rule in Analysis and Exploration of Famous Doctors'' Experience

  • 摘要: 目的以临床收集的628例名医病案为对象,用数据挖掘方法探讨名医经验中理-法-方-药之间的多重关联关系。方法FP-tree算法。结果症状-方药、症状-证型、药物-证型之间存在许多关联关系。3种关联规则挖掘结果中,补益、理气、调气等功效类药物出现频次较高,脾胃虚弱、肝胃不和、中虚气滞、脾胃湿热等证型出现频次较高。结论基于FP-tree的算法从易理解性方面获得的规则,为脾胃病的名医经验规律提供了重要的参考价值,但该领域的研究依然需要在扩大样本量的基础上进行方法学方面的进一步验证。

     

    Abstract: OBJECTIVE To explore into the multiple association relationship among theories,methods,prescriptions and drugs in the experience of famous doctors,based on 628 medical cases of famous doctors.METHOD FP-tree method was adopted.RESULTIt was found that there existed a number of interesting association relationships between symptoms and prescriptions,between symptoms and syndromes and between drugs and syndromes.Drugs for tonification and qi regulation appeared most frequently and syndromes such as deficiency of the spleen and stomach,incoordination between the liver and stomach,deficiency and stagnation of qi in the middle energizer and dampheat in the spleen and stomach also appeared frequently.CONCLUSION Although direct prescription-syndrome correlation was not detected with FP-free method,the regularities we obtained were still of important value for understanding the experience of famous doctors in treating the diseases of the spleen and stomach.

     

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