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Prediction of Autism at 3 Years from Behavioural and Developmental Measures in High-Risk Infants: A Longitudinal Cross-Domain Classifier Analysis
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Bussu, G.; Jones, E. J. H.; Charman, T.; Johnson, M. H.; Buitelaar, J. K.; Baron-Cohen, S.; Bedford, R.; Bolton, P.; Blasi, A.; Chandler, S.; Cheung, C.; Davies, K.; Elsabbagh, M.; Fernandes, J.; Gammer, I.; Garwood, H.; Gliga, T.; Guiraud, J.; Hudry, K.; Liew, M.; Lloyd-Fox, S.; Maris, H.; O'Hara, L.; Pasco, G.; Pickles, A.; Ribeiro, H.; Salomone, E.; Tucker, L.; Volein, A. – Journal of Autism and Developmental Disorders, 2018
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…
Descriptors: Prediction, Autism, Symptoms (Individual Disorders), Classification
The First Year Inventory: A Longitudinal Follow-Up of 12-Month-Old to 3-Year-Old Children
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Turner-Brown, Lauren M.; Baranek, Grace T.; Reznick, J Steven; Watson, Linda R.; Crais, Elizabeth R. – Autism: The International Journal of Research and Practice, 2013
The First Year Inventory is a parent-report measure designed to identify 12-month-old infants at risk for autism spectrum disorder. First Year Inventory taps behaviors that indicate risk in the developmental domains of sensory--regulatory and social--communication functioning. This longitudinal study is a follow-up of 699 children at 3 years of…
Descriptors: Autism, Pervasive Developmental Disorders, Risk, Disability Identification
Minor Physical Anomalies in Children with Autism Spectrum Disorders
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Angkustsiri, Kathleen; Krakowiak, Paula; Moghaddam, Billur; Wardinsky, Terrance; Gardner, Jerald; Kalamkarian, Nareg; Hertz-Picciotto, Irva; Hansen, Robin L. – Autism: The International Journal of Research and Practice, 2011
Objective: There is clinical heterogeneity among the autism spectrum disorders (ASD). The presence of dysmorphology (minor physical anomalies; MPAs) is one possible tool for defining a clinically relevant subset in ASD. This study employs an adaptation of Miles and Hillman's (2000) classifications by using photographs to identify a subgroup with…
Descriptors: Genetic Disorders, Autism, Seizures, Genetics