Neural Network System for Processing Large-Volume Diagnostic Data

Abstract

Today, big data and its Analytics are effectively used in many areas. In information technologies, the results of analysis can be used for security purposes. Based on customer identification models, you can improve the quality of service. Online transactions help detect fraud, risk management in business and trade predicts risk factors, astronomy has the ability to learn more about the universe, the health care system provides better services, and so on. Over the past decades, the volume of information in the health system has increased significantly, which has led to it being considered big data. This industry has historically generated a huge amount of data related to record keeping and patient care, enabling a wide range of medical functions, including clinical decision support, sensor-based health and food safety monitoring, disease surveillance and population health management, etc. For example, a cancer diagnosis requires petabytes of data from various sources to determine the condition of the disease and the patient's survival potential. In addition, today the use of information technology for major medical services reduces the cost of healthcare, improving its quality through preventive and personalized care and continuous monitoring. In this context, savings in the US alone reach $ 300 billion annually.