Comparative Analysis of the Results of Algorithms for Dilated Cardiomyopathy and Hypertrophic Cardiomyopathy Using Deep Learning
Nigorakhon NasimovaTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, UzbekistanBahodir MuminovTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, UzbekistanRashid NasimovTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, UzbekistanKamola AbdurashidovaTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, UzbekistanMunis AbdullaevTashkent State University of Economics, Tashkent, Uzbekistan
2021 International Conference on Information Science and Communications Technologies (ICISCT)conference2021en
ABI
Аннотация
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.
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Показатели — AkademScholar · Скоро