Ontology highlight
ABSTRACT:
SUBMITTER: Bussu G
PROVIDER: S-EPMC5996007 | biostudies-literature | 2018 Jul
REPOSITORIES: biostudies-literature
Bussu G G Jones E J H EJH Charman T T Johnson M H MH Buitelaar J K JK
Journal of autism and developmental disorders 20180701 7
We integrated multiple behavioural and developmental measures from multiple time-points using machine learning to improve early prediction of individual Autism Spectrum Disorder (ASD) outcome. We examined Mullen Scales of Early Learning, Vineland Adaptive Behavior Scales, and early ASD symptoms between 8 and 36 months in high-risk siblings (HR; n = 161) and low-risk controls (LR; n = 71). Longitudinally, LR and HR-Typical showed higher developmental level and functioning, and fewer ASD symptoms ...[more]