Sounds of COVID-19: exploring realistic performance of audio-based digital testing

To identify Coronavirus disease (COVID-19) cases efficiently, affordably, and at scale, recent work has shown how audio (including cough, breathing and voice) based approaches can be used for testing. However, there is a lack of exploration of how biases and methodological decisions impact these too...

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Detalles Bibliográficos
Autores principales: Han, Jing, Xia, Tong, Spathis, Dimitris, Bondareva, Erika, Brown, Chloë, Chauhan, Jagmohan, Dang, Ting, Grammenos, Andreas, Hasthanasombat, Apinan, Floto, Andres, Cicuta, Pietro, Mascolo, Cecilia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799654/
https://www.ncbi.nlm.nih.gov/pubmed/35091662
http://dx.doi.org/10.1038/s41746-021-00553-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799654/
https://www.ncbi.nlm.nih.gov/pubmed/35091662
http://dx.doi.org/10.1038/s41746-021-00553-x

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