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Detection of COVID-19 in smartphone-based breathing recordings: A pre-screening deep learning tool
This study was sought to investigate the feasibility of using smartphone-based breathing sounds within a deep learning framework to discriminate between COVID-19, including asymptomatic, and healthy subjects. A total of 480 breathing sounds (240 shallow and 240 deep) were obtained from a publicly av...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758005/ https://www.ncbi.nlm.nih.gov/pubmed/35025945 http://dx.doi.org/10.1371/journal.pone.0262448 |