An intelligent multimodal framework for identifying children with autism spectrum disorder

DOI10.34768/AMCS-2020-0032zbMath1466.92072OpenAlexW3108540244MaRDI QIDQ2023593

Mengyi Liao, Guangshuai Wang, Jingying Chen, Chang Chen

Publication date: 3 May 2021

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://content.sciendo.com/view/journals/amcs/30/3/article-p435.xml

zbMATH Keywords

facial expressioneye fixationautism spectrum disordercognitive levelimproved random forest

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Related Items (1)

A hybrid two-stage squeezenet and support vector machine system for Parkinson's disease detection based on handwritten spiral patterns

Cites Work

• Efficient decision trees for multi-class support vector machines using entropy and generalization error estimation

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