Subtyping cognitive profiles in Autism Spectrum Disorder using a Functional Random Forest algorithm

Volume: 172, Pages: 674 - 688
Published: May 1, 2018
Abstract
DSM-5 Autism Spectrum Disorder (ASD) comprises a set of neurodevelopmental disorders characterized by deficits in social communication and interaction and repetitive behaviors or restricted interests, and may both affect and be affected by multiple cognitive mechanisms. This study attempts to identify and characterize cognitive subtypes within the ASD population using our Functional Random Forest (FRF) machine learning classification model. This...
Paper Details
Title
Subtyping cognitive profiles in Autism Spectrum Disorder using a Functional Random Forest algorithm
Published Date
May 1, 2018
Journal
Volume
172
Pages
674 - 688
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