Cough2COVID-19 detection using an enhanced multi layer ensemble deep learning framework and CoughFeatureRanker

Abstract In response to the pressing requirement for precise and easily accessible COVID-19 detection methods, we present the Cough2COVID-19 framework, which is cost-effective, non-intrusive, and widely accessible. The conventional diagnostic methods, notably the PCR test, are encumbered by limitati...

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Autores principales:	Shabir Hussain, Muhammad Ayoub, Junaid Abdul Wahid, Akmal Khan, Amerah Alabrah, Gehad Abdullah Amran
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Nature Portfolio 2024-10-01
Colección:	Scientific Reports
Materias:	COVID-19 detection Multi-layer ensemble deep learning (MLEDL)CoughAudio analysis CoughFeatureRanker algorithm Rapid screening
Acceso en línea:	https://doi.org/10.1038/s41598-024-76639-9
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