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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| Main Authors: | Yuyang Yan, Wafaa Aljbawi, Sami O. Simons, Visara Urovi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Open Exploration Publishing Inc.
2024-08-01
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| Series: | Exploration of Digital Health Technologies |
| Subjects: | |
| Online Access: | https://www.explorationpub.com/uploads/Article/A101122/101122.pdf |
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