Machine learning’s effectiveness in evaluating movement in one-legged standing test for predicting high autistic trait

IntroductionResearch supporting the presence of diverse motor impairments, including impaired balance coordination, in children with autism spectrum disorder (ASD) is increasing. The one-legged standing test (OLST) is a popular test of balance. Since machine learning is a powerful technique for lear...

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Autores principales:	Yoshimasa Ohmoto, Kazunori Terada, Hitomi Shimizu, Hiroko Kawahara, Ryoichiro Iwanaga, Hirokazu Kumazaki
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Frontiers Media S.A. 2024-10-01
Colección:	Frontiers in Psychiatry
Materias:	autistic trait machine learning balance one-legged standing screening
Acceso en línea:	https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1464285/full
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