Computational cognitive modeling for the diagnosis of Specific Language Impairment.
Stud Health Technol Inform
; 186: 88-92, 2013.
Article
in En
| MEDLINE
| ID: mdl-23542974
ABSTRACT
Specific Language Impairment (SLI), as many other cognitive deficits, is difficult to diagnose given its heterogeneous profile and its overlap with other impairments. Existing techniques are based on different criteria using behavioral variables on different tasks. In this paper we propose a methodology for the diagnosis of SLI that uses computational cognitive modeling in order to capture the internal mechanisms of the normal and impaired brain. We show that machine learning techniques that use the information of these models perform better than those that only use behavioral variables.
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Collection:
01-internacional
Database:
MEDLINE
Main subject:
Algorithms
/
Pattern Recognition, Automated
/
Artificial Intelligence
/
Diagnosis, Computer-Assisted
/
Cognition
/
Decision Support Systems, Clinical
/
Language Disorders
Type of study:
Diagnostic_studies
/
Prognostic_studies
Limits:
Child
/
Humans
Language:
En
Journal:
Stud Health Technol Inform
Journal subject:
INFORMATICA MEDICA
/
PESQUISA EM SERVICOS DE SAUDE
Year:
2013
Document type:
Article
Affiliation country: