Analysis of Human Diseases using Artificial Neural Network and Blockchain Technology

Abstract

With the development of engineering technology and artificial neural network which mimic human brain neural networks, are being using in medical diagnosis for various human diseases. The purpose of this paper is to investigate and study various diseases using neural network and blockchain technology used in medical diagnosis. Emerging technologies like artificial Neural Network and Blockchain Technology are revolutionizing the existing healthcare infrastructure, which is a difficult task to securely and accurately forecast different diseases in Human being. Blockchain and ML are providing the best solutions to gather information while predicting and securing human disease. This study provides comprehensive reviews on different Artificial Neural Network techniques, Radial Basis Function (RBF), Generalized Regression Neural Network (GRNN), Support Vector Machine (SVM), Feedforward Backprogation Neural Network (FFBP), Convolutional Neural Network (CNN), in order to predict various human diseases. Artificial Neural Network, in addition to its strengths, may assist in overcoming many of the restrictions that Blockchain Technology base systems used in medical diagnosis of various diseases. These two technologies when combined can produce high performing and valuable solutions. In this manuscript, Blockchain Technology and how machine learning skills can be combined with a blockchain based systems are studied.