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Volume 14 Number 2 >

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
Authors: Dmitrieva, Nina
Glazachev, Oleg
Keywords: 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.
URI: http://hdl.handle.net/10525/672
ISSN: 1313-0463
Appears in Collections:Volume 14 Number 2

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