Developing a multi-variate prediction model for COVID-19 from crowd-sourced respiratory voice data

Aim: COVID-19 has affected more than 223 countries worldwide and in the post-COVID era, there is a pressing need for non-invasive, low-cost, and highly scalable solutions to detect COVID-19. This study focuses on the analysis of voice features and machine learning models in the automatic detection o...

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Detalles Bibliográficos

Principais autores:	Yuyang Yan, Wafaa Aljbawi, Sami O. Simons, Visara Urovi
Formato:	Artigo
Idioma:	Inglês
Publicado:	Open Exploration Publishing Inc. 2024-08-01
Series:	Exploration of Digital Health Technologies
Assuntos:	covid-19 diagnosis voice analysis machine learning deep learning mel-spectrogram mfcc
Acceso en liña:	https://www.explorationpub.com/uploads/Article/A101122/101122.pdf
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