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

Participatory Research Protocols and Proposals (145) Digital Biomarkers and Digital Phenotyping (198) Wearable Devices and Sensors (905) Machine Learning (1505) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (93)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48210, first published .
Using Wearable Devices and Speech Data for Personalized Machine Learning in Early Detection of Mental Disorders: Protocol for a Participatory Research Study

Using Wearable Devices and Speech Data for Personalized Machine Learning in Early Detection of Mental Disorders: Protocol for a Participatory Research Study

Using Wearable Devices and Speech Data for Personalized Machine Learning in Early Detection of Mental Disorders: Protocol for a Participatory Research Study

Authors of this article:

Ramon E Diaz-Ramos1 Author Orcid Image ;   Isabella Noriega2 Author Orcid Image ;   Luis A Trejo3 Author Orcid Image ;   Eleni Stroulia1 Author Orcid Image ;   Bo Cao4 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Ramon E Diaz-Ramos   1 * , MS ;   Isabella Noriega   2 * , MS ;   Luis A Trejo   3 * , PhD ;   Eleni Stroulia   1 * , PhD ;   Bo Cao   4 * , PhD

1 Department of Computing Science, University of Alberta, Edmonton, AB, Canada

2 School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, Mexico

3 School of Engineering and Sciences, Tecnologico de Monterrey, Atizapan, Mexico

4 Department of Psychiatry, University of Alberta, Edmonton, AB, Canada

*all authors contributed equally

Corresponding Author:

  • Ramon E Diaz-Ramos, MS
  • Department of Computing Science
  • University of Alberta
  • 8900 114 St NW
  • Edmonton, AB, T6G 2S4
  • Canada
  • Phone: 1 780 492 2285
  • Email: diazramo@ualberta.ca