摘要
探讨关联规则挖掘在冠心病诊断中的应用研究。采用Apriori算法,通过设置最小支持度和最小可信度对冠心病病例进行关联分析。挖掘出的关联规则揭示了冠心病与它产生的可能因素之间潜在的、有价值的关系,为冠心病的诊断和预防提供重要参考依据。
Discusses the application of association rules in coronary heart disease diagnosis. Association rules analysis is applied to coronary heart disease dataset through setting minimum support and minimum confidence. And apriori algorithm is used to the application. Rules of coronary heart disease and possible factors it produced can be discovered by mining association rules in coronary heart disease cases, And these rules provide important reference criteria for diagnosis and prevention of coronary heart disease case
出处
《医疗设备信息》
2007年第4期91-94,共4页
Information of Medical Equipment
关键词
数据挖掘
关联规则
冠心病诊断
data mining
association rules
coronary heart disease diagnosis
