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Modelling and Data Analysis
2020. Vol. 10, no. 2, 49–61
doi:10.17759/mda.2020100204
ISSN: 2219-3758 / 2311-9454 (online)

The Use of Neural Network Approaches in the Diagnosis of Diseases

202

S.K. Akhmed, S.V. Skorodumov

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Abstract

The work is aimed at demonstrating the possibility of using neural network approaches to diagnosing diseases using the example of the diagnosis of coronavirus. A study of the trend in the spread of coronavirus is being conducted, based on data provided by WHO. Conclusions are drawn about the possibility of applying these approaches.

General Information

Keywords: neural networks, multilayer networks, convolutional neural networks, error matrix, WHO, coronavirus

Journal rubric: Artificial Intelligence

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2020100204

For citation: Akhmed S.K., Skorodumov S.V. The Use of Neural Network Approaches in the Diagnosis of Diseases. Modelirovanie i analiz dannikh = Modelling and Data Analysis, 2020. Vol. 10, no. 2, pp. 49–61. DOI: 10.17759/mda.2020100204. (In Russ., аbstr. in Engl.)

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Information About the Authors

Samir K. Akhmed, PhD student, Moscow Aviation Institute (National Research University), Moscow, Russia, ORCID: https://orcid.org/0000-0001-5057-4510, e-mail: untronix@outlook.com

Stanislav V. Skorodumov, Associate Professor, Chair 806, Moscow Aviation Institute (National Research University), Moscow, Russia, ORCID: https://orcid.org/0000-0002-0442-2206, e-mail: skorodum@gmail.com

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