Autism Spectrum Disorder Prediction by Bio-inspired Algorithm with Blockchain based Database

Autism Spectrum disorder can be diagnosed easily when it is identified earlier. In order to identify earlier, Machine learning algorithms and Bio-inspired algorithms are used. The characteristics of an individual is applied on Machine Learning to build the best accuracy models. In this proposed work the machine learning algorithm shows moderate accuracy level. In order to improve the accuracy level one of the Bio inspired algorithm are used. This proposed work shows the better accuracy level as 99.8% and the database are secured by using the Block chain Technology.