Abstract: Today, autism spectrum disorder (ASD) is developing faster than ever. Screening tests to detect the characteristics of autism is very expensive and time-consuming. with Advances in artificial intelligence and machine learning (ML), autism can It was predicted very early. Although a lot of research has been done to use Different technologies, these studies did not provide any clear conclusions about the prediction The characteristics of autism in different age groups. The proposed model is evaluated using the AQ 10 data set and 1000 real data sets collected from people with and without autism characteristics.In light of this, we are developing a model in machine learning algorithms namely SVM ,Adaboost and Random forest.
IndexTerms - SVM ,Adaboost and Random forest.
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DOI:
10.17148/IJARCCE.2021.106134
