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

Author
García-Rudolph, A.; Gibert, Karina
Type of activity
Journal article
Journal
Expert systems with applications
Date of publication
2014-09-01
Volume
41
Number
11
First page
5238
Last page
5251
DOI
https://doi.org/10.1016/j.eswa.2014.03.001 Open in new window
Repository
http://hdl.handle.net/2117/28480 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S0957417414001249 Open in new window
Abstract
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...
Citation
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.
Keywords
Algorithms, Machine learning, Statistics
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
KEMLG - Knowledge Engineering and Machine Learning Group

Participants