A Comparative Study of Metaheuristic Feature Selection Algorithms for Respiratory Disease Classification

The correct diagnosis and early treatment of respiratory diseases can significantly improve the health status of patients, reduce healthcare expenses, and enhance quality of life. Therefore, there has been extensive interest in developing automatic respiratory disease detection systems. Most recent...

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Hlavní autoři:	Damla Gürkan Kuntalp, Nermin Özcan, Okan Düzyel, Fevzi Yasin Kababulut, Mehmet Kuntalp
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-10-01
Edice:	Diagnostics
Témata:	metaheuristic feature selection respiratory disease classification
On-line přístup:	https://www.mdpi.com/2075-4418/14/19/2244
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