Using electrooculography with visual stimulus tracking test in diagnosing of ADHD: findings from machine learning algorithms

BACKGROUND/AIM: Attention deficit hyperactivity disorder (ADHD), one of the most common neurodevelopmental disorders in childhood, is diagnosed clinically by assessing the symptoms of inattention, hyperactivity, and impulsivity. Also, there are limited objective assessment tools to support the diagn...

Descripción completa

Detalles Bibliográficos
Autores principales: LATİFOĞLU, Fatma, ESAS, Mustafa Yasin, İLERİ, Ramis, ÖZMEN, Sevgi, DEMİRCİ, Esra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Scientific and Technological Research Council of Turkey (TUBITAK) 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10395733/
https://www.ncbi.nlm.nih.gov/pubmed/36422485
http://dx.doi.org/10.55730/1300-0144.5502

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10395733/
https://www.ncbi.nlm.nih.gov/pubmed/36422485
http://dx.doi.org/10.55730/1300-0144.5502

Ejemplares similares