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

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

  1. 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 View

Books/Policy Documents

  1. 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