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    Automated Autism Spectral Disorder Classification Using Optimal Machine Learning Model

    Hanan Abdullah Mengash1, Hamed Alqahtani2, Mohammed Maray3, Mohamed K. Nour4, Radwa Marzouk1, Mohammed Abdullah Al-Hagery5, Heba Mohsen6, Mesfer Al Duhayyim7,*

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5251-5265, 2023, DOI:10.32604/cmc.2023.032729

    Abstract Autism Spectrum Disorder (ASD) refers to a neuro-disorder where an individual has long-lasting effects on communication and interaction with others. Advanced information technology which employs artificial intelligence (AI) model has assisted in early identify ASD by using pattern detection. Recent advances of AI models assist in the automated identification and classification of ASD, which helps to reduce the severity of the disease. This study introduces an automated ASD classification using owl search algorithm with machine learning (ASDC-OSAML) model. The proposed ASDC-OSAML model majorly focuses on the identification and classification of ASD. To attain this, the presented ASDC-OSAML model follows min-max… More >

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