Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Progression Prediction via Sequential Deep Learning: Model Development and Validation

BACKGROUND: Recent work has shown the potential of using audio data (eg, cough, breathing, and voice) in the screening for COVID-19. However, these approaches only focus on one-off detection and detect the infection, given the current audio sample, but do not monitor disease progression in COVID-19....

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Detalles Bibliográficos
Autores principales: Dang, Ting, Han, Jing, Xia, Tong, Spathis, Dimitris, Bondareva, Erika, Siegele-Brown, Chloë, Chauhan, Jagmohan, Grammenos, Andreas, Hasthanasombat, Apinan, Floto, R Andres, Cicuta, Pietro, Mascolo, Cecilia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9217153/
https://www.ncbi.nlm.nih.gov/pubmed/35653606
http://dx.doi.org/10.2196/37004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9217153/
https://www.ncbi.nlm.nih.gov/pubmed/35653606
http://dx.doi.org/10.2196/37004

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