This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3229) Machine Learning (2076) Clinical Information and Decision Making (1915) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (698) Electronic Health Records (1319) Adoption and Change Management of eHealth Systems (894) Validity, Reliability, and Bias (110)

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

Authors of this article:

Aviv Y Landau1 Author Orcid Image ;   Ashley Blanchard2 Author Orcid Image ;   Nia Atkins3 Author Orcid Image ;   Stephanie Salazar4 Author Orcid Image ;   Kenrick Cato5, 6 Author Orcid Image ;   Desmond U Patton1, 7, 8 Author Orcid Image ;   Maxim Topaz9, 10 Author Orcid Image
Article Authors Cited by (4) Tweetations (7) Metrics

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;8(2):209 View
  2. Horsfall L, Bondaronek P, Ive J, Poduval S. Clinical Algorithms and the Legacy of Race-Based Correction: Historical Errors, Contemporary Revisions and Equity-Oriented Methodologies for Epidemiologists. Clinical Epidemiology 2025;Volume 17:647 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

Conference Proceedings

  1. 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