Data-Driven Decision Support for Adult Autism Diagnosis Using Machine Learning

Adult referrals to specialist autism spectrum disorder diagnostic services have increased in recent years, placing strain on existing and illustrating the need for development of a reliable screening tool, order identify prioritize patients most likely receive an ASD diagnosis. In this work detailed overview approaches is presented data driven analysis using machine learning applied dataset adult cases consisting 192 cases. Our results show initial promise, achieving total positive rate (i.e., correctly classified instances all ratio) up 88.5%, but also point limitations currently available data, opening avenues further research. The main direction research novel tool adults (ASTA) introduced preliminary indicate ASTA suitable use as populations clinical settings.