Decision tree and artificial immune systems for stroke prediction in imbalanced data

作者：

Highlights：

• Machine Learning approach is used to predict stroke via imbalanced medical data set.

• Immune System and One Sided Selection are used together to balance classes.

• Decision Tree used in the classification step is induced by Genetic Programming.

摘要

•Machine Learning approach is used to predict stroke via imbalanced medical data set.•Immune System and One Sided Selection are used together to balance classes.•Decision Tree used in the classification step is induced by Genetic Programming.

论文关键词：Stroke prediction,Artificial immune systems,Decision tree,Genetic programming

论文评审过程：Received 23 December 2020, Revised 24 June 2021, Accepted 10 November 2021, Available online 27 November 2021, Version of Record 3 December 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116221