基于粗糙集和 C4．5决策树的临床病例数据分类研究

摘要

C4．5算法是数据分类的经典数据挖掘算法。整合并规范了临床确诊病例中的糖尿病并发症数据，同时进行了粗糙集约简，并运用C4．5算法实现了分类。研究表明，该方法能很好地实现决策分类，以辅助临床诊断。%C4 .5 algorithm is a classic data mining algorithm of data classification .Firstly ,integrate and standardize the clinical data of confirmed cases of diabetes complications ;secondiy ,the attributes are reduced using rough set ;lastly , Classification by C4 .5 algorithm .The method has been proved feasible and effective for classification after test the data . The next step ,we Hope to the research is able to assist clinical diagnosis .