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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2022
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| Materias: | |
| 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 |