Autism Spectrum Disorder (ASD) Screening and Detection using Machine Learning Techniques

This research aims to explore the potential and feasibility of predicting whether a person is suffering from autism spectrum disorder (ASD) and provide treatment and therapy as per the patient needs. Using machine learning, three different extensive patients datasets is analysed to identify the patients and facilitate timely interventions. The patients are classified into different age groups ranging from children, adolescents and adults. Each age group has different set of questionnaires that is needed to be answered for accurate detection. Based on the user inputs the system will detect autism. If any symptoms of autism are found then the user inputs will be taken into consideration to customize a prompt and generate specific therapies and treatments.