This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2500) Mobile Health (mhealth) (3170) Machine Learning (1757) Hygiene and Infection Prevention (348) Clinical Information and Decision Making (1674) Artificial Intelligence (1762)

Published on 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 .
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

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

Authors of this article:

Ting Dang1 Author Orcid Image ;   Jing Han1 Author Orcid Image ;   Tong Xia1 Author Orcid Image ;   Dimitris Spathis1 Author Orcid Image ;   Erika Bondareva1 Author Orcid Image ;   Chloë Siegele-Brown1 Author Orcid Image ;   Jagmohan Chauhan1, 2 Author Orcid Image ;   Andreas Grammenos1 Author Orcid Image ;   Apinan Hasthanasombat1 Author Orcid Image ;   R Andres Floto1 Author Orcid Image ;   Pietro Cicuta1 Author Orcid Image ;   Cecilia Mascolo1 Author Orcid Image
Article Authors Cited by (22) Tweetations (8) Metrics
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Tom Bellis Tom Bellis @tommybellis

Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Progression Prediction via Sequential Deep Learni… https://t.co/jmDtRz1n4p

3:06 PM · Jun 21, 2022

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JMIR Publications JMIR Publications @jmirpub

New in JMIR: Exploring Longitudinal Cough, Breath, and Voice Data for #COVID19 #coronavirus Progression Prediction… https://t.co/yBKleKgrPT

3:15 PM · Jun 21, 2022

1
3
Journal of Medical Internet Research Journal of Medical Internet Research @JMIR_

RT @jmirpub: New in JMIR: Exploring Longitudinal Cough, Breath, and Voice Data for #COVID19 #coronavirus Progression Prediction via Sequent…

3:15 PM · Jun 21, 2022

1
3
Shigekazu Ishihara Shigekazu Ishihara @shigekzishihara

RT @jmirpub: New in JMIR: Exploring Longitudinal Cough, Breath, and Voice Data for #COVID19 #coronavirus Progression Prediction via Sequent…

3:21 PM · Jun 21, 2022

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Carlos Romero Olóriz Carlos Romero Olóriz @croloriz

RT @jmirpub: New in JMIR: Exploring Longitudinal Cough, Breath, and Voice Data for #COVID19 #coronavirus Progression Prediction via Sequent…

6:52 PM · Jun 21, 2022

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Deep RL Deep RL @deep_rl

COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study - Ting Dang https://t.co/Ct5YJFuUuT

8:09 AM · Jan 05, 2022

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午後のarXiv 午後のarXiv @arxivml

"COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study", Ting Dang, Jing Han, Tong Xia, D… https://t.co/ZDYvcpFMRS

9:51 AM · Jan 05, 2022

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SummarizedML SummarizedML @summarizedml

We first explore the potential of capturing longitudinal dynamics of audio biomarkers for COVID-19 monitoring using sequential deep learning techniques. ???? https://t.co/lOaGzWCr0L https://t.co/tCThLtjROY

11:18 AM · Jan 05, 2022

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