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

Published on 21.06.2022 in Vol 24, No 6 (2022): June

This is a member publication of University of Cambridge (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37004, first published February 04, 2022.

Ting Dang ¹ , PhD ;   Jing Han ^{1
*} , PhD ;   Tong Xia ^{1
*} , MPhil ;   Dimitris Spathis ¹ , PhD ;   Erika Bondareva ¹ , MRES ;   Chloë Siegele-Brown ¹ , PhD ;   Jagmohan Chauhan ^{1, 2} , PhD ;   Andreas Grammenos ¹ , PhD ;   Apinan Hasthanasombat ¹ , MPhil ;   R Andres Floto ¹ , PhD ;   Pietro Cicuta ¹ , PhD ;   Cecilia Mascolo ¹ , PhD

¹ Department of Computer Science and Technology, University of Cambridge, Cambridge, United Kingdom

² Electronics and Computer Science, University of Southampton, Southampton, United Kingdom

*these authors contributed equally

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