Title
Lazy Learning Methods for Quality of Life Assessment in People with Intellectual Disabilities.
Abstract
In this paper we present a preliminary work applying machine learning techniques to the assessment of quality of life (QOL). In 2008 the Government of Catalonia introduced the GENCAT scale, a QOL questionnaire for dependent people users of the social and human services of Catalonia. Using data from a QOL research of 50 people with intellectual disabilities and/or mental illness of the Taller Jeroni de Moragas, we have applied a lazy learning method to discover relations between the different dimensions considered in the GENCAT scale. Our goal is to provide a basis to refine the model of QOL in a way that could support general intervention programs and a better understanding of the necessities of dependent people. This study is an interdisciplinary research of computer scientists, psychologists and human service practitioners.
Year
DOI
Venue
2011
10.3233/978-1-60750-842-7-41
Frontiers in Artificial Intelligence and Applications
Keywords
Field
DocType
Machine Learning,Lazy learning methods,Psycological applications,Quality of life assessment,GENCAT scale
Developmental psychology,Quality of life,Lazy learning,Psychology,Applied psychology
Conference
Volume
ISSN
Citations 
232
0922-6389
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Eva Armengol131532.24
Pilar Dellunde215622.63
Carlo Ratto300.34