Application of the Artificial Intelligence Algorithms for System Analysis of Multi Dimension Physiological Data for Developing Polyparametric Information System of Public Health Diagnostics

摘要

The polyparametric intelligence information system for diagnostics human functional state in medicineand public health is developed. The essence of the system consists in polyparametric describing of humanfunctional state with the unified set of physiological parameters and using the polyparametric cognitive modeldeveloped as the tool for a system analysis of multitude data and diagnostics of a human functional state. Themodel is developed on the basis of general principles geometry and symmetry by algorithms of artificialintelligence systems. The architecture of the system is represented. The model allows analyzing traditional signs- absolute values of electrophysiological parameters and new signs generated by the model – relationships ofones. The classification of physiological multidimensional data is made with a transformer of the model. Theresults are presented to a physician in a form of visual graph – a pattern individual functional state. This graphallows performing clinical syndrome analysis. A level of human functional state is defined in the case of thedeveloped standard (“ideal”) functional state. The complete formalization of results makes it possible toaccumulate physiological data and to analyze them by mathematics methods.