摘要
目的:基于中医传承辅助系统软件,分析颜正华教授治疗呃逆的用药经验。方法:收集颜正华教授治疗呃逆的病案,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呃逆的用药经验。结果:对筛选出的36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18个核心组合和3首新处方。结论:颜正华教授治疗呃逆经验丰富,多用疏肝理气、和胃止痛之品。
Objective: Analyzing the composing experience of professor YAN Zheng-hua for hiccup by using traditional Chinese medicine (TCM) inheritance support system. Methods: The prescriptions for hiccup was collected, the data then was entered into TCM inheritance support system and analyzed 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 36 prescriptions, the frequency of each herb and association rules among the herbs were computed, 18 core combinations and 3 new prescriptions were mined from the database. Conclusion: Professor YAN Zheng-hua is good at soothing the liver and regulating qi to relieve hiccup, TCM inheritance support system could be used to analyze old TCM doctor'clinical experience.
出处
《中华中医药杂志》
CAS
CSCD
北大核心
2013年第11期3416-3419,共4页
China Journal of Traditional Chinese Medicine and Pharmacy
基金
北京市中医药科技发展基金课题(No.JJ-2010-70)
北京中医药大学自主课题(No.JYB22-JS020)
北京中医药大学科研创新团队项目资助(No.2011-CXTD-14)
北京市自然科学基金课题(No.7112075)
国家科技支撑计划课题(No.2007BAI10B01)~~
关键词
颜正华
呃逆
关联规则
聚类算法
YAN Zheng-hua
Hiccup
Association rules
Clustering algorithm