An analytics-driven model for identifying autism spectrum disorder using eye tracking

The efficient and early detection of Autism Spectrum Disorder (ASD) is a critical objective in improving diagnosis and intervention outcomes. Various methods based on functional Magnetic Resonance Imaging (fMRI) and questionnaires have been explored, among which eye tracking is a promising approach....

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Bibliographic Details
Main Author: Deblina Mazumder Setu
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Healthcare Analytics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2772442525000280
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