首页> 中文期刊> 《中国中医药信息杂志》 >基于关联规则和熵聚类算法的颜正华教授治疗心悸用药规律研究

基于关联规则和熵聚类算法的颜正华教授治疗心悸用药规律研究

         

摘要

Objective To analyze the medication experience of professor Yan Zhenghua for palpitation by using TCM inheritance support system. Methods The prescriptions of Yan Zhenghua for palpitation were collected and input the data into TCM inheritance support system. The frequency and association rules of drugs were calculated by using data mining methods such as apriori algorithm, complex system entropy cluster and unsupervised hierarchical cluster, and medication rule of Yan Zhenghua for palpitation was analyzed. Results Based on the analysis of 70 prescriptions, the frequency of each herb and association rules among the herbs were computed, 33 core combinations and 8 new prescriptions were mined out. Conclusion Professor Yan Zhenghua is good at relieving palpitation by simulating the circulation of blood, cooling blood and reinforcing heart. TCM inheritance support system can be used to analyze old TCM doctor' clinical experience.%目的 基于"中医传承辅助系统(V1.1)"软件,分析颜正华教授治疗心悸的用药规律.方法 收集颜正华教授治疗心悸的病案,采用关联规则apriori算法、复杂系统熵聚类等无监督数据挖掘方法,确定处方中各种药物的使用频次及药物之间的关联规则,分析颜正华教授治疗心悸的用药规律.结果 对筛选出的70首处方进行分析,确定处方中药物的使用频次,药物之间的关联规则,挖掘出33个核心组合和8首新处方.结论 颜正华教授治疗心悸,多用活血凉血、养心安神之品.中医传承辅助系统对于挖掘名老中医临床经验具有重要实用价值.

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