A deep learning latent variable model to identify children with autism through motor abnormalities

A deep learning latent variable model to identify children with autism through motor abnormalities

IntroductionAutism Spectrum Disorder (ASD) is a by-birth neurodevelopmental disorder difficult to diagnose owing to the lack of clinical objective and quantitative measures. Classical diagnostic processes are time-consuming and require many specialists’ collaborative efforts to be properly accomplis...

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Bibliographic Details
Main Authors: Nicola Milano, Roberta Simeoli, Angelo Rega, Davide Marocco
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Psychology
Subjects:
machine learning
autism spectrum disorder
ASD
motor abnormalities
deep learning
early detection
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1194760/full

Internet

https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1194760/full

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