Machine learning for distinguishing saudi children with and without autism via eye-tracking data

被引：0
|
作者：
Hana Alarifi
Hesham Aldhalaan
Nouchine Hadjikhani
Jakob Åsberg Johnels
Jhan Alarifi
Guido Ascenso
Reem Alabdulaziz
机构：
[1] King Faisal Specialists Hospital and Research Center,Autism Center
[2] Harvard/MGH Martinos Center for Biomedical Imaging,Neurolimbic Research
[3] University of Gothenburg,Gillberg Neuropsychiatry Centre
[4] University of Gothenburg,Section of Speech and Language Pathology, Institute of Neuroscience and Physiology
[5] Politecnico di Milano,Department of Electronics, Information, and Bioengineering
来源：
Child and Adolescent Psychiatry and Mental Health | / 17卷
关键词：
Autism spectrum disorder; Eye-tracking; Face Processing; Prediction; Screening;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] "Thinking in Pictures?" Performance of Chinese Children with Autism on Math Learning Through Eye-Tracking Technology
    Winoto, Pinata
    Tang, Tiffany Y.
    Huang, Zeqian
    Chen, Piao
    LEARNING AND COLLABORATION TECHNOLOGIES: TECHNOLOGY IN EDUCATION, LCT 2017, PT II, 2017, 10296 : 215 - 226
  • [22] Classification of Children With Autism and Typical Development Using Eye-Tracking Data From Face-to-Face Conversations: Machine Learning Model Development and Performance Evaluation
    Zhao, Zhong
    Tang, Haiming
    Zhang, Xiaobin
    Qu, Xingda
    Hu, Xinyao
    Lu, Jianping
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2021, 23 (08)
  • [23] Learning to detect objects from eye-tracking data
    Papadopoulous, D. P.
    Clarke, A. D. F.
    Keller, F.
    Ferrari, V.
    I-PERCEPTION, 2014, 5 (05):
  • [24] A novel machine learning analysis of eye-tracking data reveals suboptimal visual information extraction from facial stimuli in individuals with autism
    Krol, Magdalena Ewa
    Krol, Michal
    NEUROPSYCHOLOGIA, 2019, 129 : 397 - 406
  • [25] Quick Incidental Learning of Words by Children with and without Specific Language Impairment: An Eye-tracking Study
    Chung, Haeun
    Yim, Dongsun
    COMMUNICATION SCIENCES AND DISORDERS-CSD, 2020, 25 (03): : 499 - 516
  • [26] Eye-tracking training improves the learning and memory of children with learning difficulty
    Agnes S. Chan
    Tsz-Lok Lee
    Sophia L. Sze
    Natalie S. Yang
    Yvonne M. Y. Han
    Scientific Reports, 12
  • [27] Eye-tracking training improves the learning and memory of children with learning difficulty
    Chan, Agnes S.
    Lee, Tsz-Lok
    Sze, Sophia L.
    Yang, Natalie S.
    Han, Yvonne M. Y.
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [28] Automatically classifying familiar web users from eye-tracking data: a machine learning approach
    Oder, Melih
    Eraslan, Sukru
    Yesilada, Yeliz
    TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2022, 30 (01) : 233 - 248
  • [29] Improving the understanding of web user behaviors through machine learning analysis of eye-tracking data
    Diana Castilla
    Omar Del Tejo Catalá
    Patricia Pons
    François Signol
    Beatriz Rey
    Carlos Suso-Ribera
    Juan-Carlos Perez-Cortes
    User Modeling and User-Adapted Interaction, 2024, 34 : 293 - 322
  • [30] Improving the understanding of web user behaviors through machine learning analysis of eye-tracking data
    Castilla, Diana
    Del Tejo Catala, Omar
    Pons, Patricia
    Signol, Francois
    Rey, Beatriz
    Suso-Ribera, Carlos
    Perez-Cortes, Juan-Carlos
    USER MODELING AND USER-ADAPTED INTERACTION, 2024, 34 (02) : 293 - 322
12345