Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Toward proactive social inclusion powered by machine learning
Year:2018
Research Areas
  • Information technology and adata processing
Information
Abstract
The fight against social exclusion is at the heart of the Europe 2020 strategy: 120 million people are at risk of suffering this condition in the EU. Risk prediction models are widely used in insurance companies and health services. However, the use of these models to allow an early detection of social exclusion by social workers is not a common practice. This paper describes a data analysis of over 16 K cases with over 60 predictors from the Spanish region of Castilla y León. The use of machine learning paradigms such as logistic regression and random forest makes possible a high precision in predicting chronic social exclusion: around 90% in the most conservative predictions. This prediction models offer a quick rule of thumb that can detect citizens who are in danger of been excluded from the society beyond a temporary situation, allowing social workers to further study these cases.
International
Si
JCR
Si
Title
Knowledge And Information Systems
ISBN
0219-1377
Impact factor JCR
2,247
Impact info
Volume
10.1007/s10115-018-1230-x
Journal number
From page
1
To page
17
Month
JUNIO
Ranking
Participants
  • Autor: Emilio Serrano Fernandez (UPM)
  • Autor: M. Carmen Suarez de Figueroa Baonza (UPM)
  • Autor: Asuncion de Maria Gomez Perez (UPM)
  • Autor: Jacinto Gonzalez Pachon (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Economía y Sostenibilidad del Medio Natural
  • Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)