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](https://asset.jmir.pub/assets/f637ccbf43effbefc5dbdae7917f9a42.png 480w,https://asset.jmir.pub/assets/f637ccbf43effbefc5dbdae7917f9a42.png 960w,https://asset.jmir.pub/assets/f637ccbf43effbefc5dbdae7917f9a42.png 1920w,https://asset.jmir.pub/assets/f637ccbf43effbefc5dbdae7917f9a42.png 2500w)
Journals
- 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
- Ferrara E. Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies. SSRN Electronic Journal 2023 View
- Ferrara E. Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies. Sci 2023;6(1):3 View
- 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
- 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