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Volume 15   Issue 1   Year 2020
Artificial Neural Networks in Cardiology: Analysis of Numerical and Text Data

Onishchenko P.S.1,2, Klyshnikov K.Y.2, Ovcharenko E.A.2

1The Institute of Computational Technologies of SB RAS. Novosibirsk, Russia
2Federal State Budgetary Scientific Institution Research Institute for Complex Issues of Cardiovascular Diseases, Kemerovo, Russia

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.

Key words: cardiology, cardiovascular system, cardiovascular diseases, artificial neural networks.

 
Table of Contents Original Article
Math. Biol. Bioinf.
2020;15(1):40-56
doi: 10.17537/2020.15.40
published in Russian

Abstract (rus.)
Abstract (eng.)
Full text (rus., pdf)
References

 

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