Matsuga O. Information technology of processing of non-uniform medical data for support of decision-making during diagnostics

Process of diagnostics patients with arterial hypertension at the expense of them psychological features. Development of information technology of non-uniform medical data processing on the basis of one- and bidimentional models a mixture and spline-distributions for support of decision-making during diagnostics of psychological features patients with arterial hypertension. Methods of research: methods of probability theory and mathematical statistics, pattern recognition, statistical modelling, calculus mathematics, technology of programming. For the first time the model of non-uniform medical data distribution in the form of bidimentional spline-normal distribution with one and two straight lines of pasting is offered and investigated. It has allowed to execute algorithmization and automation of data processing, classification, to define precise borders between different stages of disease. The method of definition of norms of medical parameters due to one-dimensional models of mixture and spline-distributions is advanced. The method of definition of probabilities of stay of two medical parameters in borders of normative sizes due to association parametrical and nonparametric estimation of parameters density is offered. On the basis of the offered methods and model the information technology of processing of non-uniform medical data is developed. It is used for support of decision-making during diagnostics of psychological features patients with arterial hypertension.