Biloborodova T. Models and methods of information technology for automated systems of medical data analysis

The thesis is devoted to solving the actual scientific and applied task of the development of models and method of information processing and analysis of heterogeneous medical datasets for data processing and analysis for predictive analytics problems. The research of the current state of development of information technologies, analysis of methods and means of formalization of the process of obtaining and analyzing data for solving predictive analytics tasks (search, associative analysis, classification) is performed on the example of medical data. The development of models for the processing of heterogeneous data sets with missing values based on their qualities is performed on the basis of qualitative and quantitative evaluation of the properties of the restored data with an assessment of the quality of the restoration has been performed. The method of revealing interesting rules on the basis of associative analysis of data with the definition of quantitative estimation of their interestingness is proposed. The results of the functioning of software tools and elements of information technology is presented.