Neural Networks in Intelligent Analysis Medical Data for Decision Support

The main purpose of the work was to consider the problem of neural networks and their application, especially for data management and control in the medical industry. The software product, analyzes processing of unstructured and poorly structured medical data reliability, to support decision-making, implements the neural network, was developed and studied from sets of user-defined information flows. On the basis of the scientific task, the program training algorithm was developed, which provides comprehensive support for decision-making based on the study. The developed software application is focused on cross-platform, and the graphical interface is implemented using Java FX. The software product provides a network for the reverse propagation of neural network errors (BackPropagation) and a network of directed random search (Directed Random Search). Designed neural network is trained and further recognizes the type of distribution (uniform, normal) on the specified characteristics, and used the rule "3 Sigma" to generate synthetic data. According to the study, we can conclude that the Directed Random Search learning algorithm, although more complex to implement the search for relevant medical documents, works much faster than the classical reverse distribution.