Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method

This research aims to analyze the performance of state-of-the-art machine learning techniques for classifying COVID-19 from cough sounds and to identify the model(s) that consistently perform well across different cough datasets. Different performance evaluation metrics (precision, sensitivity, spec...

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Detalles Bibliográficos
Autores principales: Chowdhury, Nihad Karim, Kabir, Muhammad Ashad, Rahman, Md. Muhtadir, Islam, Sheikh Mohammed Shariful
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8926945/
https://www.ncbi.nlm.nih.gov/pubmed/35318171
http://dx.doi.org/10.1016/j.compbiomed.2022.105405

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8926945/
https://www.ncbi.nlm.nih.gov/pubmed/35318171
http://dx.doi.org/10.1016/j.compbiomed.2022.105405

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