Predicting migrant children’s social exclusion risk through an innovative digital tool: Application of machine learning methods to Spanish residential centres

In the improvement of social care, the adaptation of services and procedures to the analysis of the best predictors of the risk of social exclusion for Unaccompanied Migrant Children plays an important role. This study aims to identify the best predictors of social exclusion among unaccompanied migr...

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Bibliographic Details

Published in:	Children and youth services review Vol. 175; p. 108345
Main Authors:	Fernández-Pacheco Alises, Gloria, Avignone, Tatiana, Torres Jiménez, Mercedes
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.08.2025
Subjects:	Predictive algorithms Residential care Risk and protective factors Social inclusion Unaccompanied migrant children Residential care Risk and protective factors Predictive algorithms Social inclusion Unaccompanied migrant children
ISSN:	0190-7409
Online Access:	Get full text
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