Machine learning for distinguishing saudi children with and without autism via eye-tracking data

Machine learning for distinguishing saudi children with and without autism via eye-tracking data

Abstract Background Despite the prevalence of Autism Spectrum Disorder (ASD) globally, there’s a knowledge gap pertaining to autism in Arabic nations. Recognizing the need for validated biomarkers for ASD, our study leverages eye-tracking technology to understand gaze patterns associated with ASD, f...

Full description

Bibliographic Details
Main Authors: Hana Alarifi, Hesham Aldhalaan, Nouchine Hadjikhani, Jakob Åsberg Johnels, Jhan Alarifi, Guido Ascenso, Reem Alabdulaziz
Format: Article
Language:English
Published: BMC 2023-09-01
Series:Child and Adolescent Psychiatry and Mental Health
Subjects:
Autism spectrum disorder
Eye-tracking
Face Processing
Prediction
Screening
Online Access:https://doi.org/10.1186/s13034-023-00662-3

Internet

https://doi.org/10.1186/s13034-023-00662-3

Similar Items