Predicting Dyslexia and Reading Speed in Adolescents from Eye Movements in Reading and Non-Reading Tasks: A Machine Learning Approach

There is evidence that abnormalities in eye movements exist during reading in dyslexic individuals. A few recent studies applied Machine Learning (ML) classifiers to such eye movement data to predict dyslexia. A general problem with these studies is that eye movement data sets are limited to reading...

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Detalles Bibliográficos
Autores principales: El Hmimdi, Alae Eddine, Ward, Lindsey M, Palpanas, Themis, Kapoula, Zoï
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534067/
https://www.ncbi.nlm.nih.gov/pubmed/34679400
http://dx.doi.org/10.3390/brainsci11101337

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534067/
https://www.ncbi.nlm.nih.gov/pubmed/34679400
http://dx.doi.org/10.3390/brainsci11101337

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