Artificial Neural Networks in Cardiology: Analysis of Numerical and Text Data

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.

A Novel Artificial Neural Network-Based Biomechanical Research on Elbow Injury of Tennis Serve

“…Other researchers focus on two widely used artificial neural networks (ANN), perceptron back propagation and Hopfield Boltzmann machine model. ey discussed in detail the characteristics of a simple feedforward neural network model [5,6]. ey introduced the Hopfield Boltzmann machine neural network model.…”