Novel chaotic oppositional fruit fly optimization algorithm for feature selection applied on COVID 19 patients’ health prediction

Novel chaotic oppositional fruit fly optimization algorithm for feature selection applied on COVID 19 patients’ health prediction

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The fast-growing quantity of information hinders the process of machine learning, making it computationally costly and with substandard results. Feature selection is a pre-processing method for obtaining the optimal subset of features in a data set. Optimization algorithms struggle to decrease the d...

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Bibliographic Details
Main Authors: Nebojsa Bacanin, Nebojsa Budimirovic, Venkatachalam K., Ivana Strumberger, Adel Fahad Alrasheedi, Mohamed Abouhawwash
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550095/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550095/?tool=EBI

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