An ensemble learning approach to digital corona virus preliminary screening from cough sounds

This work develops a robust classifier for a COVID-19 pre-screening model from crowdsourced cough sound data. The crowdsourced cough recordings contain a variable number of coughs, with some input sound files more informative than the others. Accurate detection of COVID-19 from the sound datasets re...

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Detalles Bibliográficos
Autores principales: Mohammed, Emad A., Keyhani, Mohammad, Sanati-Nezhad, Amir, Hejazi, S. Hossein, Far, Behrouz H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8319422/
https://www.ncbi.nlm.nih.gov/pubmed/34321592
http://dx.doi.org/10.1038/s41598-021-95042-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8319422/
https://www.ncbi.nlm.nih.gov/pubmed/34321592
http://dx.doi.org/10.1038/s41598-021-95042-2

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