Please use this identifier to cite or link to this item:
http://hdl.handle.net/10525/672
Title:
Application of the Artificial Intelligence Algorithms for System Analysis of Multi Dimension Physiological Data for Developing Polyparametric Information System of Public Health Diagnostics
Life and Medical Sciences Medical Information Systems Computational Geometry and Object Modeling Models Geometric Artificial Intelligence Algorithms Polyparametric Information System
Issue Date:
2007
Publisher:
Institute of Information Theories and Applications FOI ITHEA
Abstract:
The polyparametric intelligence information system for diagnostics human functional state in medicine
and public health is developed. The essence of the system consists in polyparametric describing of human
functional state with the unified set of physiological parameters and using the polyparametric cognitive model
developed as the tool for a system analysis of multitude data and diagnostics of a human functional state. The
model is developed on the basis of general principles geometry and symmetry by algorithms of artificial
intelligence 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 of
ones. The classification of physiological multidimensional data is made with a transformer of the model. The
results are presented to a physician in a form of visual graph – a pattern individual functional state. This graph
allows performing clinical syndrome analysis. A level of human functional state is defined in the case of the
developed standard (“ideal”) functional state. The complete formalization of results makes it possible to
accumulate physiological data and to analyze them by mathematics methods.