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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
Teresa Odom
By Teresa Odom Scienmag Editorial Profile - Machine Learning
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Machine learning models could enable earlier identification of at-risk children,
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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

###

Article URL: 

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.

Subject of Research: Social Science

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

Article References: Original research article

Image Credits: AI Generated

DOI: Not provided

Keywords: Not provided

Cite Scienmag News

Teresa Odom. (July 10, 2024). 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. Scienmag. https://scienmag.com/machine-learning-models-could-enable-earlier-identification-of-at-risk-children-aiding-social-workers-and-potentially-improving-outcomes-per-danish-study-of-more-than-100000-children/

Teresa Odom. "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." Scienmag, 10 July 2024, https://scienmag.com/machine-learning-models-could-enable-earlier-identification-of-at-risk-children-aiding-social-workers-and-potentially-improving-outcomes-per-danish-study-of-more-than-100000-children/. Accessed 3 September 2026.

Teresa Odom. "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." Scienmag. July 10, 2024. https://scienmag.com/machine-learning-models-could-enable-earlier-identification-of-at-risk-children-aiding-social-workers-and-potentially-improving-outcomes-per-danish-study-of-more-than-100000-children/

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