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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
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Stewart, Lydia A.; Lee, Li-Ching – Autism: The International Journal of Research and Practice, 2017
This review contributes to the growing body of global autism spectrum disorder literature by examining the use of screening instruments in low- and middle-income countries with respect to study design and methodology, instrument adaptation and performance, and collaboration with community stakeholders in research. A systematic review was conducted…
Descriptors: Foreign Countries, Autism, Pervasive Developmental Disorders, Screening Tests