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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

07.10.24 | PLOS

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Predictive risk modeling for child maltreatment detection and enhanced decision-making: Evidence from Danish administrative data
Machine learning models could enable earlier identification of at-risk children, aiding social workers and potentially improving outcomes. Credit: Nathan Dumlao, Unsplash, CC0 (https://creativecommons.org/publicdomain/zero/1.0/)

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: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0305974

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.

PLOS ONE

10.1371/journal.pone.0305974

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

10-Jul-2024

The authors have declared that no competing interests exist.

Keywords

Machine Learning Social Research Social Studies Of Science Social Work

Article Information

Journal
PLOS ONE
DOI
10.1371/journal.pone.0305974
Article Publication Date
2024-07-10
Article Title
Predictive risk modeling for child maltreatment detection and enhanced decision-making: Evidence from Danish administrative data
COI Statement
The authors have declared that no competing interests exist.

Contact Information

Hanna Abdallah
PLOS
onepress@plos.org

How to Cite This Article

APA:
PLOS. (2024, July 10). 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. Brightsurf News. https://www.brightsurf.com/news/LDEPKZG8/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.html
MLA:
"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." Brightsurf News, Jul. 10 2024, https://www.brightsurf.com/news/LDEPKZG8/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.html.