An efficient and effective ensemble of support vector machines for anti-diabetic drug failure prediction

作者：

Highlights：

• We propose a method called E3-SVM, efficient and effective ensemble of SVMs.

• E3-SVM excludes superfluous data points when constructing an SVM ensemble.

• E3-SVM was applied to the drug failure prediction problem for type 2 diabetes.

• We confirmed the suitability of SVM with an accuracy of about 80%.

摘要

•We propose a method called E3-SVM, efficient and effective ensemble of SVMs.•E3-SVM excludes superfluous data points when constructing an SVM ensemble.•E3-SVM was applied to the drug failure prediction problem for type 2 diabetes.•We confirmed the suitability of SVM with an accuracy of about 80%.

论文关键词：Support vector machines,Ensemble,Data selection,Type 2 diabetes,Drug failure prediction

论文评审过程：Available online 2 February 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.01.042