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Attention-based hybrid CNN-LSTM and spectral data augmentation for COVID-19 diagnosis from cough sound
COVID-19 pandemic has fueled the interest in artificial intelligence tools for quick diagnosis to limit virus spreading. Over 60% of people who are infected complain of a dry cough. Cough and other respiratory sounds were used to build diagnosis models in much recent research. We propose in this wor...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9034264/ https://www.ncbi.nlm.nih.gov/pubmed/35498369 http://dx.doi.org/10.1007/s10844-022-00707-7 |