Published on in Vol 7 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/40194, first published
.
Black and Latinx Primary Caregiver Considerations for Developing and Implementing a Machine Learning–Based Model for Detecting Child Abuse and Neglect With Implications for Racial Bias Reduction: Qualitative Interview Study With Primary Caregivers
Black and Latinx Primary Caregiver Considerations for Developing and Implementing a Machine Learning–Based Model for Detecting Child Abuse and Neglect With Implications for Racial Bias Reduction: Qualitative Interview Study With Primary Caregivers
Journals
- Landau A, Blanchard A, Kulkarni P, Althobaiti S, Idnay B, Patton D, Topaz M, Cato K. Designing a Machine Learning-Based Model Integrating Clinical Orders for Child Abuse and Neglect Identification with Focus on Reducing Socio-economic Bias. International Journal on Child Maltreatment: Research, Policy and Practice 2025;8(2):209 View
Books/Policy Documents
- Landau A, Espeleta H, Mathiyazhagan S, Blanchard A, Heider P, Cato K, Hanson R, Patton D, Lenert L, Topaz M. Handbook of Children and Screens. View
Conference Proceedings
- Miah M, Ayon S, Ebrahim Hossain M, Farhana N, Bhowmik A. Proceedings of the 3rd International Conference on Computing Advancements. Uncovering Hidden Realities of Child Labor Abuse in Egyptian Workplaces with Machine Learning and Explainable AI View