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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

July 10, 2024
in Social Science
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Predictive risk modeling for child maltreatment detection and enhanced decision-making: Evidence from Danish administrative data
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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

Predictive risk modeling for child maltreatment detection and enhanced decision-making: Evidence from Danish administrative data

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 URL: 

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

DOI

10.1371/journal.pone.0305974

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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