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

Participatory Research Protocols and Proposals (219) Wearable Devices and Sensors (1258) Machine Learning (2327) Digital Biomarkers and Digital Phenotyping (344) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (94)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48210, first published .
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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 (7) Tweetations (3) Metrics

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  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 2026;398:120976 View
  3. Aleti R, Nijhawan M, Bakhatwar M, Baratam S, Kishore Adireddy K. PERSONALIZED CHRONOTHERAPY: BRIDGING PRECISION MEDICINE WITH CIRCADIAN THERAPEUTICS. INDIAN DRUGS 2026;63(03):8 View

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