Abstract

The article presents an analysis of the use of neural network technologies for medical diagnosis of various diseases, the purpose of which is to determine which areas of diagnosis of neural network technologies are the most effective. At the same time, the structure of artificial neural networks, learning algorithms and the accuracy of the functioning of artificial neural networks were considered. Analysis of the literature showed that the most optimal model of artificial neural networks for solving tasks of medical diagnosis, multilayer perceptron.