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Unsupervised Machine Learning for Identifying Challenging Behavior Profiles to Explore Cluster-Based Treatment Efficacy in Children With Autism Spectrum Disorder: Retrospective Data Analysis Study

BACKGROUND: Challenging behaviors are prevalent among individuals with autism spectrum disorder; however, research exploring the impact of challenging behaviors on treatment response is lacking. OBJECTIVE: The purpose of this study was to identify types of autism spectrum disorder based on engagemen...

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Detalles Bibliográficos
Autores principales:	Gardner-Hoag, Julie, Novack, Marlena, Parlett-Pelleriti, Chelsea, Stevens, Elizabeth, Dixon, Dennis, Linstead, Erik
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2021
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209527/ https://www.ncbi.nlm.nih.gov/pubmed/34076577 http://dx.doi.org/10.2196/27793

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