Systems and Means of Informatics
2014, Volume 24, Issue 1, pp 153-179
FUNCTIONAL HYBRID INTELLIGENT DECISION SUPPORT SYSTEM FOR DIAGNOSTICS OF ARTERIAL HYPERTENSION
- I. A. Kirikov
- A. V. Kolesnikov
- S. B. Rumovskaya
Abstract
The paper introduces an approach to modeling decision support system for diagnostics of the arterial hypertension within the problem-structured
methodology of functional artificial heterogeneous systems. The results of integrated method design are presented, including the following tasks: development
of the heterogeneousmodel field for the complex problem of arterial hypertension
diagnostics, region specification of subtasks autonomous model pertinence, and
development of the algorithm for designing the integrated method and the model
for solving the complex (heterogeneous) task. The models are designed in accordance with the recommendations of the Society of Cardiology of the Russian
Federation for diagnostics and treatment of arterial hypertension. The architecture of the virtual physician's consultation diagnostics of arterial hypertension is
the result of the algorithm synthesizing the method for solving the heterogeneous
task. Such systems allow to synthesize dynamically a new method for elaborating
diagnosis for each patient individually.
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[+] About this article
Title
FUNCTIONAL HYBRID INTELLIGENT DECISION SUPPORT SYSTEM FOR DIAGNOSTICS OF ARTERIAL HYPERTENSION
Journal
Systems and Means of Informatics
Volume 24, Issue 1, pp 153-179
Cover Date
2013-11-30
DOI
10.14357/08696527140110
Print ISSN
0869-6527
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
functional hybrid intelligent system; heterogeneous model field;
integrated method for solving the heterogeneous task; diagnostics of arterial
hypertension
Authors
I. A. Kirikov , A. V. Kolesnikov , , and S. B. Rumovskaya
Author Affiliations
Kaliningrad Branch of the Institute of Informatics Problems, Russian Academy of
Sciences, 5 Gostinaya Str., Kaliningrad 236000, Russian Federation
Immanuel Kant Baltic Federal University, 14 Nevskogo Str., Kaliningrad 236041,
Russian Federation
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