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

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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Bibliographic Details
Main Authors: Shabir Husssain, Muhammad Ayoub, Junaid Abdul Wahid, Akmal Khan, Amerah Alabrah, Gehad Abdullah Amran
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Scientific Reports
Subjects:
COVID-19 detection
Multi-layer ensemble deep learning (MLEDL)CoughAudio analysis CoughFeatureRanker algorithm
Rapid screening
Online Access:https://doi.org/10.1038/s41598-024-76639-9

Internet

https://doi.org/10.1038/s41598-024-76639-9

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