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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Vydáno v:	Children and youth services review Ročník 175; s. 108345
Hlavní autoři:	Fernández-Pacheco Alises, Gloria, Avignone, Tatiana, Torres Jiménez, Mercedes
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.08.2025
Témata:	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
On-line přístup:	Získat plný text
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