I METADATI DI QUESTO DOI SONO STATI AGGIORNATI IL: 2018-04-27 12:14
Titolo completo
Neuropsychological Trends
Editore
LED Edizioni Universitarie
ISSN
1970321X (Rivista Stampata)
19703201 (Rivista Online)
Proprietary, a publisher’s product number
9788879168519 (Rivista Stampata)
Numero del fascicolo
23
Designazione del fascicolo
Neuropsychological Trends - April 2018
Data del fascicolo (YYYY/MM)
2018/04
Titolo completo (Inglese)
How many tests do you need to diagnose Learning Disabilities?
Di (autore)
Prima Pagina
67
Ultima Pagina
81
Lingua del testo
Inglese
Data di publicazione
2018/04
Descrizione principale (Inglese)
The diagnosis of Learning Disabilities (LD) is frequently subject to cognitive biases. In Italy, minimal diagnostic standards have been identified during a national Consensus Conference (2010). However, specialists use different protocols to assess reading and cognitive abilities. Thus, we propose to support LDs diagnosis with Artificial Neural Networks (ANN). Clinical results from 203 reports were input to investigate which ones can predict LD diagnosis. In addition, correlations among LDs were explored. Preliminary results show that ANNs can be useful to support a clinical diagnosis of LDs with an 81.93% average accuracy, and, under certain conditions, with a 99% certainty. Additionally, the 10 most meaningful tests for each LD have been identified and significant correlations between dyscalculia and dyslexia were found.