An Overview of the Algorithmic Diagnostics Methodology: A Big Data Approach

Abstract

Modern medical diagnosis requires the development of algorithms for processing large amounts of data (big data analytics), with numerous complex and unconventional cases, where the analysis with clasical statistical methods is usually inapplicable. Methods of machine learning are good solution, since they can discover complicated relationships from given dataset and than use this knowledge for new data. This paper considers methodology of algorithmic diagnosis based on artificial neural networks.