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
  4. Sartori R, Marinaro F, Tommasi F, Buccoliero A, Zene M, Shah S, Ceschi A. A Scoping Review on the Use of Voice Biomarkers for Emotional Assessment. European Journal of Psychological Assessment 2025 View
  5. Sharmila S, Sandra G, Amelieke S, Elisa D, Thomas M, Oliver B, Chris E, Michael B. I speak Tele outlines the design of a digitized dysarthria assessment. Scientific Reports 2025;15(1) View

Books/Policy Documents

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