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

Internet

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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