Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Towards Social Care Prediction Services Aided by Multi-agent Systems
Año:2017
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Prediction models are widely used in insurance companies and health services. Even when 120 million people are at risk of suffering poverty or social exclusion in the EU, this kind of models are surprisingly unusual in the field of social services. A fundamental reason for this gap is the difficulty in labeling and annotating social services data. Conditions such as social exclusion require a case-by-case debate. This paper presents a multi-agent architecture that combines semantic web technologies, exploratory data analysis techniques, and supervised machine learning methods. The architecture offers a holistic view of the main challenges involved in labeling data and generating prediction models for social services. Moreover, the proposal discusses to what extent these tasks may be automated by intelligent agents.
Internacional
Si
Nombre congreso
Workshop on Agents and multi-agent Systems for AAL and e-HEALTH (A-HEALTH) at PAAMS 2017
Tipo de participación
960
Lugar del congreso
Oporto, Portugal
Revisores
Si
ISBN o ISSN
978-3-319-70886-7
DOI
Fecha inicio congreso
21/06/2017
Fecha fin congreso
21/06/2017
Desde la página
119
Hasta la página
130
Título de las actas
PAAMS 2017 : 15th International Conference on Practical Applications of Agents and Multi-Agent Systems
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Emilio Serrano Fernandez (UPM)
  • Autor: Javier Bajo Perez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
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