决策树在预测新生儿黄疸疾病的应用

On the Application of Decision Tree in the Forecasting of Newborns＇Neonatal Jaundice

针对新生儿黄疸病的预防的现状，首次提出了运用决策树的方法来提高提前预测的效果。首先介绍了C5．0算法的思想。在此基础对新生儿的数据进行了预处理，建立了决策树模型，实验结果表明了该方法的有效性。

Aiming at forecasting of the newborm＇s neonatal jaundice, the use of decision tree to enhance the effect of forecasting is presented at the first time. Firstly, the idea and process of C5.0 arithmetic one of base decision tree arithmetic are introduced and the concept and calculation method of information gain are provided in detail. Then, the data of newborns is pretreated and the model of decision tree is established. At last , this method is proved effective by practice.