Symptomatic dataset For Autism Spectrum Disorder in Arab Children
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Autism spectrum disorder (ASD) is a neurological disorder that affects the ability of communicative, linguistic and social skills. Early detection of ASD especially on children is important and affect the quality of the life that the children will live in the future. Recently, there are many techniques used to build models that can predict ASD early depending on the data. This paper builds a dataset for ASDs with focus on Arab children “Egyptian” to be used by researchers in research that depends on data. The methodology used Modified Checked list for Autism in toddlers, revised(M-CHAT-R) as a tool to collect data which is a behavioral test. The result from the collection process, is a dataset file consisting of 200 patients, some of them have ASD, ASD with other syndromes, and others syndromes that have some symptoms similar to ASD.
