Machine learning models could enable earlier identification of at-risk children, aiding social workers and potentially improving outcomes, per Danish study of more than 100,000 children
Credit: Nathan Dumlao, Unsplash, CC0 (
Machine learning models could enable earlier identification of at-risk children, aiding social workers and potentially improving outcomes, per Danish study of more than 100,000 children
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Article Title: Predictive risk modeling for child maltreatment detection and enhanced decision-making: Evidence from Danish administrative data
Author Countries: Denmark, France
Funding: Funding for this project was provided by TrygFonden (TrygFondens Centre for Child Research) (https://childresearch.au.dk/en/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Journal
PLoS ONE
Article Title
Predictive risk modeling for child maltreatment detection and enhanced decision-making: Evidence from Danish administrative data
Article Publication Date
10-Jul-2024
COI Statement
The authors have declared that no competing interests exist.
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