基于关联规则和复杂系统熵聚类的颜正华教授治疗腹痛用药规律研究

Analysis on TCM master YAN Zheng-hua's medication rule in prescriptions for abdominal pain based on apriori and clustering algorithm

目的:探讨颜正华教授治疗腹痛的用药规律与经验。方法:收集颜正华教授治疗腹痛的处方,采用关联规则apriori算法、复杂系统熵聚类等数据挖掘方法,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腹痛的用药经验。结果:对筛选出的52个处方进行分析,确定处方中药物的使用频次,药物之间的关联规则,挖掘出32个核心组合和6首新处方。结论:颜正华教授治疗腹痛经验丰富,多用疏肝理气、活血止痛、健脾和胃之品。

Objective： To analyze the composing experience of professor YAN Zheng-hua for abdominal pain by using traditional Chinese medicine inheritance support system. Methods： Collecting the prescriptions for abdominal pain, then enter the data into TCM inheritance support system and analyze composing principles by using datamining methods such as revised mutual information, complex system entropy cluster and unsupervised hierarchical cluster. Results： Based on the analysis of 52prescriptions, the frequency of each herb and association rules among the herbs are computed, 32 core combinations and 6 new prescriptions are mined from the database. Conclusion： Professor YAN Zheng-hua is good at soothing the liver, regulating qi and promoting blood circulation to relieve abdominal pain.