Published on in Vol 6, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37061, first published .
Digital Content-Free Speech Analysis Tool to Measure Affective Distress in Mental Health: Evaluation Study

Digital Content-Free Speech Analysis Tool to Measure Affective Distress in Mental Health: Evaluation Study

Digital Content-Free Speech Analysis Tool to Measure Affective Distress in Mental Health: Evaluation Study

Journals

  1. Wasserzug Y, Degani Y, Bar-Shaked M, Binyamin M, Klein A, Hershko S, Levkovitch Y. Development and validation of a machine learning-based vocal predictive model for major depressive disorder. Journal of Affective Disorders 2023;325:627 View
  2. Dawadi R, Inoue M, Tay J, Martin-Morales A, Vu T, Araki M. Disease Prediction Using Machine Learning on Smartphone-Based Eye, Skin, and Voice Data: Scoping Review. JMIR AI 2025;4:e59094 View
  3. Garzón-Partida A, Padilla-Gómez C, Martínez-Fernández D, García-Estrada J, Luquin S, Fernández-Quezada D. The implementation of digital biomarkers in the diagnosis, treatment and monitoring of mood disorders: a narrative review. Frontiers in Digital Health 2025;7 View

Books/Policy Documents

  1. Singh D, Rani M, Kumari S, Kumar R, Priya V, Singh R. Machine Learning for Social Transformation. View