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

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

BackgroundRecent 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. L...

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Main Authors: Ting Dang (Author), Jing Han (Author), Tong Xia (Author), Dimitris Spathis (Author), Erika Bondareva (Author), Chloë Siegele-Brown (Author), Jagmohan Chauhan (Author), Andreas Grammenos (Author), Apinan Hasthanasombat (Author), R Andres Floto (Author), Pietro Cicuta (Author), Cecilia Mascolo (Author)
Format: Book
Published: JMIR Publications, 2022-06-01T00:00:00Z.
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