Classification of Children With Autism and Typical Development Using Eye-Tracking Data From Face-to-Face Conversations: Machine Learning Model Development and Performance Evaluation

BACKGROUND: Previous studies have shown promising results in identifying individuals with autism spectrum disorder (ASD) by applying machine learning (ML) to eye-tracking data collected while participants viewed varying images (ie, pictures, videos, and web pages). Although gaze behavior is known to...

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Detalles Bibliográficos
Autores principales: Zhao, Zhong, Tang, Haiming, Zhang, Xiaobin, Qu, Xingda, Hu, Xinyao, Lu, Jianping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440949/
https://www.ncbi.nlm.nih.gov/pubmed/34435957
http://dx.doi.org/10.2196/29328

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440949/
https://www.ncbi.nlm.nih.gov/pubmed/34435957
http://dx.doi.org/10.2196/29328

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