A Machine Learning Based Approach for Progeria Syndrome Detection

Abstract

We proposed a generic framework for diagnosis of Progeria syndrome among the newborns. We proposed novel framework architecture of VGG-16. We have used multiple machine learning algorithms and feature extraction tools and we got best results in Logistic Regression algorithm. Disease identification helps us in early stage diagnosis of a disease. It also helps us to find out effective medicines or treatment for it. Our model gives us the best accuracy of 99.8%.