Machine Learning-Based Detection of Autism Spectrum Disorder Using Attention Mechanisms in Eye-Tracking Data

Effective and accurate diagnosis of Autism Spectrum Disorder (ASD) has become crucial for early intervention and a better outcome for patients. This study attempts to improve ASD detection through machine learning (ML) techniques applied to eye-tracking data. We developed a machine learning model that utilizes eye movement sequences, representing the participant’s attention mechanisms, to enhance ...