Development of intelligent method for differential diagnosis of Specific Language Impairment

Presents a soft computing model for differential diagnosis of Specific Language Impairment (SLI). SLI is a language disorder that, in many cases, cannot be easily diagnosed by the specialists. This difficulty necessitates the development of a methodology, which will contribute to the differential diagnosis of SLI and will help and support the speech therapist in the diagnostic process. The methodology-tool used is based on fuzzy cognitive maps. The development of the model was based on proven and published knowledge from the literature and then it was successfully tested on four different clinical cases. The results obtained point to its final integration in the future and to its valid contribution as a model of differential diagnosis of SLI.