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

Landau, A. Y., Blanchard, A., Atkins, N., Salazar, S., Cato, K., Patton, D. U., & Topaz, M. (2023). 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. JMIR Formative Research, 7, e40194. https://doi.org/10.2196/40194
Authors:
Aviv Y Landau
Ashley Blanchard
Nia Atkins
Stephanie Salazar
Kenrick Cato
Desmond U Patton
Maxim Topaz
Affiliated Authors:
Ashley Blanchard
Nia Atkins
Maxim Topaz
Columbia Affiliation:
Author Keywords:
child abuse and neglect
pediatric emergency departments
machine learning-based risk models
electronic health records
primary caregivers
child
abuse
neglect
model
epidemic
development
implementation
community
machine learning
machine learning–based risk models
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Publication Type:
Article
Unique ID:
10.2196/40194
PMID:
36719717
DOI:
10.2196/40194
Journal:
JMIR Formative Research
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
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