Comparative Analysis of the Results of Algorithms for Dilated Cardiomyopathy and Hypertrophic Cardiomyopathy Using Deep Learning

In this article, has been developed a convolutional neural network algorithm based on Echo to automatically classify cardiomyopathy. This algorithm allows to classify dilated (DCM) cardiomyopathy and hypertrophic cardiomyopathy (HCM) with an accuracy of 98. 2%. With the improvement of this approach, it is possible to develop an intelligent system and expert systems that will help to make decisions aimed at early detection, classification and diagnosis of symptoms of heart diseases.