Published on in Vol 6, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34366, first published .
Fairness in Mobile Phone–Based Mental Health Assessment Algorithms: Exploratory Study

Fairness in Mobile Phone–Based Mental Health Assessment Algorithms: Exploratory Study

Fairness in Mobile Phone–Based Mental Health Assessment Algorithms: Exploratory Study

Journals

  1. Gallifant J, Griffin M, Pierce R, Celi L. From quality improvement to equality improvement projects: A scoping review and framework. iScience 2023;26(10):107924 View
  2. Ferrara E. Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies. SSRN Electronic Journal 2023 View
  3. Ferrara E. Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies. Sci 2023;6(1):3 View
  4. Khoo L, Lim M, Chong C, McNaney R. Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches. Sensors 2024;24(2):348 View
  5. Adams J. Examining Ethical and Social Implications of Digital Mental Health Technologies Through Expert Interviews and Sociotechnical Systems Theory. Digital Society 2024;3(2) View