摘要
收集孟河医家马培之治疗咯血的病案,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,挖掘出10个核心组合和5首新处方。研究显示,孟河医家马培之治疗咯血经验丰富,多用清热润肺、凉血止血、养血滋阴之品;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。
The clinical prescriptions of hemoptysis that built by Menghe physician Ma Peizhi were collected, and were analyzed by the method of unsupervised data mining, such as association rules and clustering algorithm. From the prescriptions, we got the frequency of drugs, the association rules among drugs, 10 core drug combinations and 5 new prescriptions. Accordingly, after the analysis, Menghe physician Ma Peizhi had rich experience in the treatment of hemoptysis. His therapy for hemoptysis was clearing heat and moistening lung, dispel heat from blood to stop bleeding, and enriching yin and blood. And we can also make a conclusion that the TCM inheritance support system is of great practical value for minning the old doctors＇ clinical experiences.
出处
《中国中药杂志》
CAS
CSCD
北大核心
2014年第4期627-630,共4页
China Journal of Chinese Materia Medica
基金
国家科技支撑计划项目(2007BAI10B01)
北京市自然科学基金项目(7112075)
北京市中医药科技发展基金项目(JJ2010-70)
北京中医药大学科研创新团队项目(2011-CXTD-14)
北京中医药大学"重点学科"开放课题(2013-ZDXKKF-19)
关键词
马培之
咯血
关联规则
聚类算法
Ma Peizhi
hemoptysis
association rules
clustering algorithm
