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

BackgroundPrevious 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 gaz...

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Bibliographic Details
Main Authors: Zhong Zhao, Haiming Tang, Xiaobin Zhang, Xingda Qu, Xinyao Hu, Jianping Lu
Format: Article
Language:English
Published: JMIR Publications 2021-08-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2021/8/e29328