Abstract:
This review discusses works on the use of artificial neural networks for processing numerical and textual data. Application of a number of widely used approaches is considered, such as decision support systems; prediction systems, providing forecasts of outcomes of various methods of treatment of cardiovascular diseases, and risk assessment systems. The possibility of using artificial neural networks as an alternative approach to standard methods for processing patient clinical data has been shown. The use of neural network technologies in the creation of automated assistants to the attending physician will make it possible to provide medical services better and more efficiently.
Received 18.07.2019, 15.01.2020, Published 18.02.2020
Document Type:
Article
Language: Russian
Citation:
P. S. Onishchenko, K. Yu. Klyshnikov, E. A. Ovcharenko, “Artificial neural networks in cardiology: analysis of numerical and text data”, Mat. Biolog. Bioinform., 15:1 (2020), 40–56
\Bibitem{OniKlyOvc20}
\by P.~S.~Onishchenko, K.~Yu.~Klyshnikov, E.~A.~Ovcharenko
\paper Artificial neural networks in cardiology: analysis of numerical and text data
\jour Mat. Biolog. Bioinform.
\yr 2020
\vol 15
\issue 1
\pages 40--56
\mathnet{http://mi.mathnet.ru/mbb421}
\crossref{https://doi.org/10.17537/2020.15.40}
Linking options:
https://www.mathnet.ru/eng/mbb421
https://www.mathnet.ru/eng/mbb/v15/i1/p40
This publication is cited in the following 2 articles:
Jiaju Zhu, Meng Zhang, Jian Su, “A Novel Artificial Neural Network-Based Biomechanical Research on Elbow Injury of Tennis Serve”, Security and Communication Networks, 2022 (2022), 1
Kamyshev V K., Kureichik V.M., Borodyanskiy I.M., Bersenev E.Y., “Prospects For the Use of Neural Networks in Cardiometry”, Cardiometry, 2020, no. 17, 85–91
Citation in format AMSBIB
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