决策树方法在药物选择模型中的应用

The application of decision tree method in the model of drug selection

近年来,数据挖掘在IT行业备受关注。数据挖掘技术解决了目前数据贫乏的问题,它通过分析,从大量的、杂乱无章的数据中提取出有价值的信息,这些信息可用于解决如医疗诊断、风险评估等决策问题。决策树方法是数据挖掘中的一个重要内容,文章通过决策树在药物选择中的应用来阐述决策树的构建过程。

In recent years, data mining has attracted much attention in the IT industry. its technology has solved the problem of lacking data, it extract valuable information from large amounts of irregular data through analysis, this information can be used to solve problems such as making medical diagnosis, risk assessment. The decision tree method is one of the important contents in data mining;this article describes the constructing process of decision tree through the application of decision tree in the drug selection.