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Can I read An augmented Snake Optimizer for diseases and COVID-19 diagnosis on EtoBox?
An augmented Snake Optimizer for diseases and COVID-19 diagnosis by Ruba Abu Khurma; Dheeb Albashish; Malik Braik; Abdullah Alzaqebah; Ashwaq Qasem; Omar Adwan is a Medicine article available to read on EtoBox.
What is An augmented Snake Optimizer for diseases and COVID-19 diagnosis about?
Feature Selection (FS) techniques extract the most recognizable features for improving the performance of classification methods for medical applications. In this paper, two intelligent wrapper FS approaches based on a new metaheuristic algorithm named the Snake Optimizer (SO) are introduced. The binary SO, called BSO, is built based on an S-shape transform function to handle the binary discrete values in the FS domain. To improve the exploration of the search space by BSO, three evolutionary crossover operators (i.e., one-point crossover, two-point crossover, and uniform crossover) are incorporated and controlled by a switch probability. The two newly developed FS algorithms, BSO and BSO-CV, are implemented and assessed on a real-world COVID-19 dataset and 23 disease benchmark datasets. According to the experimental results, the improved BSO-CV significantly outperformed the standard BSO in terms of accuracy and running time in 17 datasets. Furthermore, it shrinks the COVID-19 dataset's dimension by 89% as opposed to the BSO's 79%. Moreover, the adopted operator on BSO-CV improved the balance between exploitation and exploration capabilities in the standard BSO, particularly in se
Who reads An augmented Snake Optimizer for diseases and COVID-19 diagnosis?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Ruba Abu Khurma; Dheeb Albashish; Malik Braik; Abdullah Alzaqebah; Ashwaq Qasem; Omar Adwan
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Medicine (Physical Sciences)