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Advantages of combining AI and statistic for knowledge discovery on functional disability: multivariate analysis of assessment scales using clustering based on rules

Autor
Gibert, Karina; Annicchiarico, R.; Cortes, U.; Caltagirone, C.
Tipus d'activitat
Article en revista
Revista
Acta informatica medica
Data de publicació
2009-12
Volum
17
Número
4
Pàgina inicial
198
Pàgina final
204
URL
http://www.scopemed.org/?jft=6&ft=6-1299785607 Obrir en finestra nova
Resum
In Europe, and other developed areas, senior citizens are a fast growing part of population. This increases proportion of disabled persons and proportion of persons with reduced quality of life. The concept of disability itself is not always precise and quantifiable. To improve agreement on the concept of disability, the World Health Organization (WHO) developed the clinical test WHO Disability Assessment Schedule, (WHO-DASII) that includes physical, mental, and social wellbeing, as a generic me...
Paraules clau
Assessment, Clustering based on rules, Disability, Knowledge discovery, Knowledge-based applications in medicine, Neurological disease, Scale (clinical test)
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic

Participants