Food and Therapy Recommendation System for Autistic Syndrome using Machine Learning Techniques
M. Premasundari, C. Yamini · 2019
Autism is a group of disorders that causes social communication, repetitive behaviors, sensory aspects, speech and language challenges commonly in children. There are different therapies such as occupational and speech therapies to treat these autistic children. Nutritious food is a medicine for all diseases. Nutritional therapy is an important therapy to be followed by the children along with other therapies. In this study, the proposed system will recommend food and therapy for the autistic children based on their symptoms. The system uses k-means algorithm for grouping the symptoms based on its types and association rule mining for the recommendation of food and therapies. The food and therapy recommendation system is achieved well and it is helpful for the parents whose children suffering from autism.