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

Participatory Research Protocols and Proposals (195) Digital Biomarkers and Digital Phenotyping (291) Wearable Devices and Sensors (1149) Machine Learning (2095) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (95)

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 (5) Tweetations (3) Metrics

Journals

  1. Ha T, Jakimier K, O’Sullivan S. The Use of MRI and TMS in Treatment-Resistant Depression: Advances in Pediatric Applications. Brain Sciences 2025;15(2):194 View
  2. Tang J, Wang X, Zhu W, Yang W, Xiang Y, Wang Y, Zhang X, Wang F, Yang J. Screening for depressive symptoms in primary and secondary school students based on speech features: A one-year longitudinal study from Jiangsu, China. Journal of Affective Disorders 2025:120976 View

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  1. Sharma A, Bijo K, Manandhar S, Sharma L. Human-Computer Interaction. View
  2. Mitra U, Rehman S. Wearable Devices and Smart Technology for Educational Teaching Assistance. View
  3. Vallu V, Samudrala V, Pulakhandam W. Accelerating Product Development Cycles With Digital Twins and IoT Integration. View