Evolutionary feature transformation to improve prognostic prediction of hepatitis

作者：

Highlights：

• Our novel feature selection can improve prognosis of hepatitis.

• We used an evolutionary method for feature augmentation.

• We assessed its performance with state-of-the-art classifiers.

• Our feature selection method improves prediction of survival.

摘要

•Our novel feature selection can improve prognosis of hepatitis.•We used an evolutionary method for feature augmentation.•We assessed its performance with state-of-the-art classifiers.•Our feature selection method improves prediction of survival.

论文关键词：Machine learning,Decision support system,Hepatitis,Feature augmentation,Evolutionary algorithms,Genetic algorithm

论文评审过程：Received 27 October 2019, Revised 25 March 2020, Accepted 5 May 2020, Available online 11 May 2020, Version of Record 12 May 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106012