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](https://asset.jmir.pub/assets/0c5a03097e1d67452181f7a56c4726de.png 480w,https://asset.jmir.pub/assets/0c5a03097e1d67452181f7a56c4726de.png 960w,https://asset.jmir.pub/assets/0c5a03097e1d67452181f7a56c4726de.png 1920w,https://asset.jmir.pub/assets/0c5a03097e1d67452181f7a56c4726de.png 2500w)
1 Schmid College of Science and Technology, Chapman University, Orange, CA, United States
2 Center for Autism and Related Disorders, Woodland Hills, CA, United States
3 Fowler School of Engineering, Chapman University, Orange, CA, United States
*these authors contributed equally