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

Advanced Data Analytics in eHealth (40) JMIR Theme Issue: COVID-19 Special Issue (2169) Theme Issue: Medical Informatics and COVID-19 (98) Big Data (174) Computer-Aided Diagnosis (47) Decision Support for Health Professionals (772)

Published on in Vol 10 , No 11 (2022) :November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35622, first published .
Discovery and Analytical Validation of a Vocal Biomarker to Monitor Anosmia and Ageusia in Patients With COVID-19: Cross-sectional Study

Discovery and Analytical Validation of a Vocal Biomarker to Monitor Anosmia and Ageusia in Patients With COVID-19: Cross-sectional Study

Discovery and Analytical Validation of a Vocal Biomarker to Monitor Anosmia and Ageusia in Patients With COVID-19: Cross-sectional Study

Authors of this article:

Eduardo Higa 1 Author Orcid Image ;   Abir Elbéji 1 Author Orcid Image ;   Lu Zhang 2 Author Orcid Image ;   Aurélie Fischer 1 Author Orcid Image ;   Gloria A Aguayo 1 Author Orcid Image ;   Petr V Nazarov 2 Author Orcid Image ;   Guy Fagherazzi 1 Author Orcid Image
Article Authors Cited by Tweetations (19) Metrics

Eduardo Higa   1 * , BSc, MSc ;   Abir Elbéji   1 * , BSc, MSc ;   Lu Zhang   2 * , BSc, MSc ;   Aurélie Fischer   1 * , BSc, MSc ;   Gloria A Aguayo   1 * , MD, PhD ;   Petr V Nazarov   2 * , BSc, MSc, PhD ;   Guy Fagherazzi   1 * , BSc, MSc, DPhil

1 Deep Digital Phenotyping Research Unit, Department of Population Health, Luxembourg Institute of Health, Strassen, LU

2 Bioinformatics Platform, Quantitative Biology Unit, Luxembourg Institute of Health, Strassen, LU

*all authors contributed equally

Corresponding Author:

  • Guy Fagherazzi, BSc, MSc, DPhil
  • Deep Digital Phenotyping Research Unit
  • Department of Population Health
  • Luxembourg Institute of Health
  • 1A-B, rue Thomas Edison
  • Strassen, L1445
  • LU
  • Phone: 1 26970-457
  • Fax: 1 26970-719
  • Email: guy.fagherazzi@gmail.com