A task recommendation system for children and youth with autism spectrum disorder

Abstract

Current studies indicate that 1 in 68 children have Autism Spectrum Disease. It is known that early diagnosis and intervention can alter the course of development and significantly improve the prognosis of the disease. It is our intention to develop a task Recommendation System, which will use a Case-based Reasoning machine learning technique, in order to supplement the child’s regular therapy. Besides the tasks’ recommendation, this application will allow a closer monitoring by parents and a better coordination with the therapists, contributing to improve the results on child’s development.