Big Data analysis in development of personalized medical system

Abstract

This paper considers the actual problem of Big Data analysis of medical information. Big Data is characterized by heterogeneity and constant growth requires the use of non-standard approaches to storage and processing of data. The analysis of personalized medical information for system development is proposed. The methods of construction of patient information track model based on systematic verification of patient's personal and medical data is developed. The semantics of the data personalization in decision-making consists of the following stags: stage of forming the ontology of medical knowledge of the medical process and stage of formalizing the process of finding standard solutions. A personalized approach to personalization of standard schemes is proposed by modifying the decision-making method based on decision trees, taking into account the relationship between patient parameters. The result of the method is presented in personalized scheme.