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

Development of Novel Medical Devices and Innovations for Existing Devices (90) Diabetes Technology Around the World (28) Diabetes (232) New Methods (1040) New Technologies (97) Computer-Aided Diagnosis (191) Digital Biomarkers and Digital Phenotyping (234)

Published on in Vol 10 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64357, first published .
Optimizing Voice Sample Quantity and Recording Settings for the Prediction of Type 2 Diabetes Mellitus: Retrospective Study

Optimizing Voice Sample Quantity and Recording Settings for the Prediction of Type 2 Diabetes Mellitus: Retrospective Study

Optimizing Voice Sample Quantity and Recording Settings for the Prediction of Type 2 Diabetes Mellitus: Retrospective Study

Authors of this article:

Atousa Assadi1 Author Orcid Image ;   Jessica Oreskovic1 Author Orcid Image ;   Jaycee Kaufman1 Author Orcid Image ;   Yan Fossat1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Atousa Assadi   1 , MSc, MEng ;   Jessica Oreskovic   1 , MAS ;   Jaycee Kaufman   1 , MSc ;   Yan Fossat   1 , MSc

1 Klick Applied Sciences, Toronto, ON, Canada

Corresponding Author:

  • Yan Fossat, MSc
  • Klick Applied Sciences
  • 175 Bloor St East, North Tower, 3rd floor
  • Toronto, ON M4W3R8
  • Canada
  • Phone: 1 6472068717
  • Email: yfossat@klick.com