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

The Use of Neural Network Approaches in the Diagnosis of Diseases

 
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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

OpenAlex citations: 1

OpenAlex trends: Advanced Data Processing Techniques, Advanced Computational Techniques in Science and Engineering, Technology and Human Factors in Education and Health

Information about the work in OpenAlex

Number of citations: 1

Topics

Advanced Data Processing Techniques

This cluster of papers focuses on the modeling and control of multidimensional systems, with an emphasis on redundant transmission, fuzzy controller adaptation, fault tolerance, real-time systems, and energy efficiency in various domains such as cyber-physical systems, network traffic analysis, and industrial automation.

Number of works: 60256  |  Total number of citations: 206829

Topic detailsв OpenAlex

Advanced Computational Techniques in Science and Engineering

This cluster of papers focuses on the intersection of Internet of Things (IoT) and healthcare systems, including topics such as remote monitoring, algorithmic modeling, wireless sensor networks, telemedicine, biomedical signal processing, and digital information management. The papers also touch upon the application of IoT in smart city healthcare systems and the use of corpus analysis in technical writing classrooms.

Number of works: 19217  |  Total number of citations: 82460

Topic detailsв OpenAlex

Technology and Human Factors in Education and Health

This cluster of papers explores the future of personalized medicine in healthcare, focusing on topics such as artificial intelligence, healthcare technology, medical innovation, ergonomics, biomedical signal analysis, digital health, cyber-physical systems, healthcare automation, and clinical decision support. The papers cover a wide range of interdisciplinary research related to advancing personalized medical treatments and technologies.

Number of works: 27270  |  Total number of citations: 81913

Topic detailsв OpenAlex

Work details in OpenAlex

Article type: scientific article

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

Published

For citation: Akhmed, S.K., Skorodumov, S.V. (2020). The Use of Neural Network Approaches in the Diagnosis of Diseases. Modelling and Data Analysis, 10(2), 49–61. (In Russ.). https://doi.org/10.17759/mda.2020100204

© Akhmed S.K., Skorodumov S.V., 2020

License: CC BY-NC 4.0

References

  1. Andrés Ortiz, Jorge Munilla, Manuel Martínez-Ibañez, Juan M. Górriz, Javier Ramírez and Diego Salas-Gonzalez. Parkinson’s Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Networks. Front Neuroinform. 2019;13:48. doi: 10.3389/fninf.2019.00048
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  3. Github [Electronic resource]. Github. https://github.com/Untronix0nly/Articles
  4. Nikolenko S., Kadurin A., Archangelskaya E. Deep learning / / Saint Petersburg: Piter, 2019–480 s: Il.
  5. Imagenet [Electronic resource]. Imagenet competition. URL: http://www.image-net.org/
  6. Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun. Deep Residual Learning for Image Recognition [Electronic resource]. ArXiv. URL: https://arxiv.org/pdf/1512.03385.pdf
  7. Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He. A Comprehensive Survey on Transfer Learning [Electronic resource]. ArXiv. URL: https://arxiv.org/pdf/1911.02685.pdf

Information About the Authors

Samir K. Akhmed, PhD student, Moscow Aviation Institute (National Research University), Moscow, Russian Federation, 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, Russian Federation, ORCID: https://orcid.org/0000-0002-0442-2206, e-mail: skorodum@gmail.com

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