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The Diagnosis of ASD Using Multiple Machine Learning Techniques
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Kumar, Chandan Jyoti; Das, Priti Rekha – International Journal of Developmental Disabilities, 2022
Autism Spectrum Disorder (ASD) is a highly heterogeneous set of neurodevelopmental disorders with the global prevalence estimates of 2.20%, according to DSM5 criteria. With the advancements of technology and availability of huge amount of data, assistive tools for diagnosis of ASD are being developed using machine learning techniques. The present…
Descriptors: Autism Spectrum Disorders, Clinical Diagnosis, Artificial Intelligence, Observation
Mobile and Online Consumer Tools to Screen for Autism Do Not Promote Equity
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Sanders, Benjamin W.; Bedrick, Steven; Broder-Fingert, Sarabeth; Brown, Shannon A.; Dolata, Jill K.; Fombonne, Eric; Reeder, Julie A.; Rivas Vazquez, Luis Andres; Fuchu, Plyce; Morales, Yesenia; Zuckerman, Katharine E. – Autism: The International Journal of Research and Practice, 2023
Limited access to screening and evaluation for autism spectrum disorder in children is a major barrier to improving outcomes for marginalized families. To identify and evaluate available digital autism spectrum disorder screening resources, we simulated web and mobile app searches by a parent concerned about their child's likelihood of autism…
Descriptors: Screening Tests, Autism Spectrum Disorders, Computer Assisted Testing, Parent Attitudes