Uncovering biologically relevant Autism subtypes using advanced machine learning techniques
ASD biotypes
DOI:
https://doi.org/10.46570/utjms-2024-1180Keywords:
autism, biotypes, multimodal, machine learning, random forest, resting-state functional connectivity, superior temporal sulcus, salience network, Symposium
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Published
2024-11-21
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1.
Vento C "Gabby", Cubells J, Young L, Andari E. Uncovering biologically relevant Autism subtypes using advanced machine learning techniques: ASD biotypes. Translation [Internet]. 2024 Nov. 21 [cited 2025 Aug. 12];13(S1). Available from: http://openjournals.utoledo.edu/index.php/translation/article/view/1180
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Departments of Neuroscience and Psychiatry Research Symposium
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Copyright (c) 2024 Gabby, Joseph Cubells, Larry Young, Elissar Andari (Author)
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