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Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice
The issue in respiratory sound classification has attained good attention from the clinical scientists and medical researcher's group in the last year to diagnosing COVID-19 disease. To date, various models of Artificial Intelligence (AI) entered into the real-world to detect the COVID-19 disea...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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AIMS Press
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8116184/ https://www.ncbi.nlm.nih.gov/pubmed/34017889 http://dx.doi.org/10.3934/publichealth.2021019 |