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

摘要: Barriers to identifying autism spectrum disorder (ASD) in young children a timely manner have led calls for novel screening and assessment strategies. Combining computational methods with clinical expertise presents an opportunity patterns within large datasets that can inform new paradigms. The present study describes analytic approach used identify key features predictive of ASD children, drawn from amounts data comprehensive diagnostic evaluations. A team expert clinicians these design set activities allowing observation core behaviors. resulting brief underlies several approaches the identification are focus ongoing research.