Joint imbalanced classification and feature selection for hospital readmissions

作者：

Highlights：

• We propose a new method, which joint imbalanced classification and feature selection, for handling class-imbalance problem.

• An iterative optimization scheme is designed with convexity.

• The proposed method is proved to be effective for the hospital readmission task.

摘要

•We propose a new method, which joint imbalanced classification and feature selection, for handling class-imbalance problem.•An iterative optimization scheme is designed with convexity.•The proposed method is proved to be effective for the hospital readmission task.

论文关键词：Hospital readmission,Imbalanced classification,Feature selection,ℓ1-norm regularization,Convex optimization

论文评审过程：Received 15 September 2019, Revised 26 March 2020, Accepted 11 May 2020, Available online 18 May 2020, Version of Record 18 May 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106020