A Convolutional Deep Neural Network Approach to Predict Autism Spectrum Disorder Based on Eye-Tracking Scan Paths

A Convolutional Deep Neural Network Approach to Predict Autism Spectrum Disorder Based on Eye-Tracking Scan Paths

Autism spectrum disorder (ASD) is a developmental disorder that encompasses difficulties in communication (both verbal and non-verbal), social skills, and repetitive behaviors. The diagnosis of autism spectrum disorder typically involves specialized procedures and techniques, which can be time-consu...

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Bibliographic Details
Main Authors: May Alsaidi, Nadim Obeid, Nailah Al-Madi, Hazem Hiary, Ibrahim Aljarah
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Information
Subjects:
autism spectrum disorder (ASD)
convolutional neural network (CNN)
deep learning
eye-tracking scan path
multi-layer perceptron (MLP)
machine learning (ML)
Online Access:https://www.mdpi.com/2078-2489/15/3/133

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https://www.mdpi.com/2078-2489/15/3/133

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