Dynamic Viewing Pattern Analysis: Towards Large-Scale Screening of Children With ASD in Remote Areas

Objective : Autism spectrum disorder (ASD) affects nearly 1 in 44 children younger than 8 years old in the United States, and the situation may be even worse in remote areas of the world. However, it is difficult to utilize existing approaches to screen patients with ASD in remote areas due to the l...

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Veröffentlicht in:	IEEE transactions on biomedical engineering Jg. 70; H. 5; S. 1 - 12
Hauptverfasser:	Xia, Chen, Zhang, Dingwen, Li, Kuan, Li, Hongxia, Chen, Jianxin, Min, Weidong, Han, Junwei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.05.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial Intelligence Autism Autism spectrum disorder Autism Spectrum Disorder - diagnosis Child Children deep autoencoder deep learning dynamic viewing patterns Encoding Faces Feature extraction Hospitals Humans Learning Long short-term memory long short-term memory (LSTM) network Pattern analysis Pediatrics Recognition, Psychology Remote regions Semantics United States Viewing Visual stimuli Visualization United States
ISSN:	0018-9294, 1558-2531, 1558-2531
Online-Zugang:	Volltext
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