Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal

Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal

Abstract Background Autism Spectrum Disorder (ASD) diagnosis can be aided by approaches based on eye-tracking signals. Recently, the feasibility of building Visual Attention Models (VAMs) from features extracted from visual stimuli and their use for classifying cases and controls has been demonstrat...

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Bibliographic Details
Main Authors: Felipe O. Franco, Jessica S. Oliveira, Joana Portolese, Fernando M. Sumiya, Andréia F. Silva, Ariane Machado-Lima, Fatima L.S. Nunes, Helena Brentani
Format: Article
Language:English
Published: BMC 2023-12-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Autism spectrum disorder
Eye-tracking
Machine learning
Classifier
Replicability
Online Access:https://doi.org/10.1186/s12911-023-02389-9

Internet

https://doi.org/10.1186/s12911-023-02389-9

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