Autism Spectrum Disorder Analysis and Classification

Autism Spectrum Disorder (ASD) is a condition related to brain development that affects how a person perceives and interacts with others on a social level, causing problems with social interaction and communication. ASD begins in early childhood and eventually causes problems with social functioning. There is no direct cure for ASD, but early and intensive diagnosis can make a huge difference in the lives of many people. In our work, we will study and analyze a database containing 1875 cases of autism distributed among three categories: children, adolescents, and adults, recorded all over the world using the Autism Quotient AQ-10 test. We use a Support Vector Machine (SVM) classifier to classify the datasets into two classes; autistic and non-autistic. The method has given good results with a success rate equal to 100%.