A random walk Grey wolf optimizer based on dispersion factor for feature selection on chronic disease prediction

作者：

Highlights：

• Improvised Grey wolf optimizer for feature selection on medical data.

• Proposed method ranks best over other Nature Inspired Algorithms.

• Identification of significant features of chronic disease data.

• Prediction of the output class for each data using significant features.

摘要

•Improvised Grey wolf optimizer for feature selection on medical data.•Proposed method ranks best over other Nature Inspired Algorithms.•Identification of significant features of chronic disease data.•Prediction of the output class for each data using significant features.

论文关键词：Feature selection,Medical data,Grey Wolf optimizer,Classification problem

论文评审过程：Received 9 August 2021, Revised 19 May 2022, Accepted 11 June 2022, Available online 16 June 2022, Version of Record 26 June 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117864