摘要
介绍了ID3决策树算法建立决策树的基本原理和改进方法,利用改进的决策树算法对心脏病医疗诊断数据进行数据挖掘·采用VisualC++6 0进行编程建树,得到了一些有实际参考价值的诊断规则,获得了较高的分类准确率,证明了决策树算法在智能医疗诊断数据挖掘领域有着广泛的应用前景·
ID3 decision tree constructing algorithm and its improving algorithms are analyzed. The introduced decision tree algorithms are applied to the data mining of the heart disease diagnosis. Some valuable rules are obtained with Visual C++6.0 programming, greatly verifying the great potential of the decision tree algorithm to the data mining of medical data.
基金
澳门大学科研委员会(RefNo:RG049/02 03S/VMI/FST
"Network based
Intelligent
HomeHealthcareSystem".
关键词
数据挖掘
决策树
规则
医疗数据
data mining
decision tree
rules
medical data
