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Direct linkLaura L. Corona; Liliana Wagner; Madison Hooper; Amy Weitlauf; Tori E. Foster; Jeffrey Hine; Alexandra Miceli; Amy Nicholson; Caitlin Stone; Alison Vehorn; Zachary Warren – Journal of Autism and Developmental Disorders, 2024
Purpose: Telemedicine approaches to autism (ASD) assessment have become increasingly common, yet few validated tools exist for this purpose. This study presents results from a clinical trial investigating two approaches to tele-assessment for ASD in toddlers. Methods: 144 children (29% female) between 17 and 36 months of age (mean = 2.5 years, SD…
Descriptors: Autism Spectrum Disorders, Toddlers, Videoconferencing, Access to Health Care
Mayes, Susan D. – Journal of Autism and Developmental Disorders, 2018
The smallest subset of items from the 30-item Checklist for Autism Spectrum Disorder (CASD) that differentiated 607 referred children (3-17 years) with and without autism with 100% accuracy was identified. This 6-item subset (CASD-Short Form) was cross-validated on an independent sample of 397 referred children (1-18 years) with and without autism…
Descriptors: Autism, Pervasive Developmental Disorders, Clinical Diagnosis, Accuracy
Crippa, Alessandro; Salvatore, Christian; Perego, Paolo; Forti, Sara; Nobile, Maria; Molteni, Massimo; Castiglioni, Isabella – Journal of Autism and Developmental Disorders, 2015
In the present work, we have undertaken a proof-of-concept study to determine whether a simple upper-limb movement could be useful to accurately classify low-functioning children with autism spectrum disorder (ASD) aged 2-4. To answer this question, we developed a supervised machine-learning method to correctly discriminate 15 preschool children…
Descriptors: Children, Autism, Psychomotor Skills, Task Analysis
