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A data mining approach to identify cognitive NeuroRehabilitation Range in Traumatic Brain Injury patients

Autor
García-Rudolph, A.; Gibert, Karina
Tipus d'activitat
Article en revista
Revista
Expert systems with applications
Data de publicació
2014-09-01
Volum
41
Número
11
Pàgina inicial
5238
Pàgina final
5251
DOI
https://doi.org/10.1016/j.eswa.2014.03.001 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/28480 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S0957417414001249 Obrir en finestra nova
Resum
Cognitive rehabilitation (CR) treatment consists of hierarchically organized tasks that require repetitive use of impaired cognitive functions in a progressively more demanding sequence. Active monitoring of the progress of the subjects is therefore required, and the difficulty of the tasks must be progressively increased, always pushing the subjects to reach a goal just beyond what they can attain. There is an important lack of well-established criteria by which to identify the right tasks to p...
Citació
García-Rudolph, A.; Gibert, Karina. A data mining approach to identify cognitive NeuroRehabilitation Range in Traumatic Brain Injury patients. "Expert systems with applications", 01 Setembre 2014, vol. 41, núm. 11, p. 5238-5251.
Paraules clau
Algorithms, Machine learning, Statistics
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic

Participants