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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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| Опубликовано в: : | JMIR Med Inform |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
JMIR Publications
2021
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8209527/ https://ncbi.nlm.nih.gov/pubmed/34076577 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/27793 |
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