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Journal of Affective Disorders|March 29, 2024
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic modelYuezhou Zhang, Amos A Folarin, Judith Dineley, et al.
Health Information Science and Systems|May 9, 2022
A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS projectPetros Barmpas, Sotiris Tasoulis, Aristidis G Vrahatis, et al.
Archives of General Psychiatry|January 5, 2011
Development of lifetime comorbidity in the World Health Organization world mental health surveysRonald C Kessler, Johan Ormel, Maria Petukhova, et al.
Journal of Affective Disorders|August 20, 2023
Multilingual markers of depression in remotely collected speech samples: A preliminary analysisNicholas Cummins, Judith Dineley, Pauline Conde, et al.
JMIR Mental Health|March 11, 2022
Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling StudyYuezhou Zhang, Amos A Folarin, Shaoxiong Sun, et al.
Psychological Medicine|October 20, 2020
Toward measuring effective treatment coverage: critical bottlenecks in quality- and user-adjusted coverage for major depressive disorderDaniel Vigo, Josep Maria Haro, Irving Hwang, et al.
Plos One|June 14, 2013
Disability mediates the impact of common conditions on perceived healthJordi Alonso, Gemma Vilagut, Núria D Adroher, et al.
NPJ Digital Medicine|February 22, 2023
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression studyYuezhou Zhang, Abhishek Pratap, Amos A Folarin, et al.
Psychological Medicine|November 10, 2020
Transdiagnostic development of internalizing psychopathology throughout the life course up to age 45: a World Mental Health Surveys reportYmkje Anna de Vries, Ali Al-Hamzawi, Jordi Alonso, et al.
International Journal of Mental Health Systems|June 23, 2022
Determinants of effective treatment coverage for major depressive disorder in the WHO World Mental Health SurveysDaniel V Vigo, Alan E Kazdin, Nancy A Sampson, et al.
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