The Use of Neural Network Approaches in the Diagnosis of Diseases

Akhmed S.K.; Skorodumov S.V.

doi:10.17759/mda.2020100204

Previous issue (2021. Vol. 11, no. 1)

Modelling and Data Analysis

Publisher: Moscow State University of Psychology and Education

ISSN (printed version): 2219-3758

ISSN (online): 2311-9454

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

License: CC BY-NC 4.0

Started in 2011

Published 4 times a year

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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 ⁶⁵

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

Skorodumov S.V.
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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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.

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

Column: Artificial Intelligence

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

For Reference

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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