摘要
目的 基于中医传承辅助系统软件,分析孟河医家马培之治疗痹证的用药经验.方法 收集孟河医家马培之治疗痹证的病案,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,分析孟河医家马培之治疗痹证的用药经验.结果 对筛选出的61首处方进行分析,总结出使用频次最高的前三位药物为当归、秦艽、牛膝;使用频次最高的前三位药物组合为牛膝、当归;当归、秦艽;当归、桑枝;经过聚类算法分析挖掘出26个核心组合和13首新处方.结论 孟河医家马培之治疗痹证经验丰富,多用祛风除湿、活血化瘀之品.中医传承辅助系统对于挖掘名老中医临床经验具有重要价值.
Objeetive To analyze the experiences for impediment syndrome of Ma Peizhi of Menghe Medical Genre by using traditional Chinese medicine (TCM) inheritance support system.Method The prescriptions for impediment syndrome of Ma Peizhi were collected and inputted to TCM inheritance support system,from which we can get the frequency of drug usage and the relationship between drugs based on the association rules and clustering algorithm.Results In the 61 prescriptions,the drugs that used most frequently were Chinese Angelica,Largeleaf Gentian Root,and Twotoothed Aehyranthes Root,and the drug combinations that used most frequently were Largeleaf Gentian Root-Chinese Angelica,Chinese Angelica-Largeleaf Gentian Root,Chinese Angelica-Mulberry Twig.And there were also 26 core combinations and 13 new prescriptions mined from the database.Conclusion Ma Peizhi of Menghe Medical Genre was well experienced impediment syndrome by dispelling wind and removing dampness,and promoting blood circulation by removing blood stasis,from which we can make a conclusion that TCM inheritance support system can be used to analyze the doctors' clinical experiences.
出处
《国际中医中药杂志》
2014年第2期141-144,共4页
International Journal of Traditional Chinese Medicine
基金
北京市自然科学基金课题(项目编号:7112075)
北京市中医药科技发展基金课题(项目编号:JJ-2010-70)
北京中医药大学科研创新团队项目资助(项目编号:NO.2011-CXTD-14)
国家科技支撑计划课题(项目编号:2007BAI10B01)
北京中医药大学重点学科开放课题(项目编号:NO.2013-ZDXKKF-19)
关键词
马培之
痹证
关联规则
聚类算法
Ma Peizhi
Impediment syndrome
Association rules
Clustering algorithm