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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Auteurs principaux:	Nicola Milano, Roberta Simeoli, Angelo Rega, Davide Marocco
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2023-05-01
Collection:	Frontiers in Psychology
Sujets:	machine learning autism spectrum disorder ASD motor abnormalities deep learning early detection
Accès en ligne:	https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1194760/full
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