Abstract
Autism spectrum disorders, a neuro-developmental illness marked by deficits in social, communication, and behavioral development and associated with high healthcare expenses. Autism has no cure, and the purpose of treatment is to enhance your child’s functional abilities by lowering autism spectrum disorder symptoms. As a result, early diagnosis can significantly reduce its symptoms and promote the child’s growth and learning. The process of diagnosing autism can be lengthy and expensive, and the increasing number of Autistic cases around the world shows an urgent need for a rapid, easy, and reliable self-administered Autism screening tool that can be used by professionals, parents, and caregivers to ensure if the subject exhibits some of the typical symptoms of autism, and whether they should pursue formal clinical diagnosis or not. This paper presented an Autism spectrum disorders (ASD) screening tool using a dataset consisting of 20 features, 10 behavioral features from the brief self-administered ASD screening methods (AQ-10-Adult), and ten personal information that have been proven to be beneficial in detecting ASD patients. Our ASD classifier model had an accuracy rate of 98.3% when using artificial neural networks (ANN).
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Ikermane, M., Mouatasim, A.E. (2023). Autism Spectrum Disorder Screening Using Artificial Neural Network. In: Farhaoui, Y., Rocha, A., Brahmia, Z., Bhushab, B. (eds) Artificial Intelligence and Smart Environment. ICAISE 2022. Lecture Notes in Networks and Systems, vol 635. Springer, Cham. https://doi.org/10.1007/978-3-031-26254-8_37
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DOI: https://doi.org/10.1007/978-3-031-26254-8_37
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