This paper is in the following e-collection/theme issue:

New Methods (944) Machine Learning (1465) Artificial Intelligence (1371) Autism Spectrum Disorder (ASD) (109) Methods and New Tools in Mental Health Research (454) Diagnostic Tools in Mental Health (242)

Published on in Vol 23, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29328, first published .
Classification of Children With Autism and Typical Development Using Eye-Tracking Data From Face-to-Face Conversations: Machine Learning Model Development and Performance Evaluation

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

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

Authors of this article:

Zhong Zhao1 Author Orcid Image ;   Haiming Tang1 Author Orcid Image ;   Xiaobin Zhang2 Author Orcid Image ;   Xingda Qu1 Author Orcid Image ;   Xinyao Hu1 Author Orcid Image ;   Jianping Lu3 Author Orcid Image
Article Authors Cited by (41) Tweetations (9) Metrics

Zhong Zhao   1 , PhD ;   Haiming Tang   1 ;   Xiaobin Zhang   2 , PhD ;   Xingda Qu   1 , PhD ;   Xinyao Hu   1 , PhD ;   Jianping Lu   3

1 Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China

2 Shenzhen Guangming District Center for Disease Control and Prevention, Shenzhen, China

3 Department of Child Psychiatry of Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, China

Corresponding Author:

  • Xingda Qu, PhD
  • Institute of Human Factors and Ergonomics
  • College of Mechatronics and Control Engineering
  • Shenzhen University
  • 3688 Nanhai Avenue
  • Shenzhen, 518000
  • China
  • Phone: 86 86965716
  • Email: quxd@szu.edu.cn