This paper is in the following e-collection/theme issue:

Machine Learning (1501) Autism Spectrum Disorder (ASD) (112) Artificial Intelligence (1421)

Published on in Vol 9, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27793, first published .
Unsupervised Machine Learning for Identifying Challenging Behavior Profiles to Explore Cluster-Based Treatment Efficacy in Children With Autism Spectrum Disorder: Retrospective Data Analysis Study

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

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

Authors of this article:

Julie Gardner-Hoag1 Author Orcid Image ;   Marlena Novack2 Author Orcid Image ;   Chelsea Parlett-Pelleriti3 Author Orcid Image ;   Elizabeth Stevens3 Author Orcid Image ;   Dennis Dixon2 Author Orcid Image ;   Erik Linstead3 Author Orcid Image
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