Toward Novel Tools for Autism Identification: Fusing Computational and Clinical Expertise.

Toward Novel Tools for Autism Identification: Fusing Computational and Clinical Expertise. J Autism Dev Disord. 2021 Jan 08;: Authors: Corona LL, Wagner L, Wade J, Weitlauf AS, Hine J, Nicholson A, Stone C, Vehorn A, Warren Z Abstract Barriers to identifying autism spectrum disorder (ASD) in young children in a timely manner have led to calls for novel screening and assessment strategies. Combining computational methods with clinical expertise presents an opportunity for identifying patterns within large clinical datasets that can inform new assessment paradigms. The present study describes an analytic approach used to identify key features predictive of ASD in young children, drawn from large amounts of data from comprehensive diagnostic evaluations. A team of expert clinicians used these predictive features to design a set of assessment activities allowing for observation of these core behaviors. The resulting brief assessment underlies several novel approaches to the identification of ASD that are the focus of ongoing research. PMID: 33417138 [PubMed - as supplied by publisher]
Source: Journal of Autism and Developmental Disorders - Category: Psychiatry Authors: Tags: J Autism Dev Disord Source Type: research