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Bukharbaeva, L. Ya.; Bakusov, L. M.; Nasyrov, Rashit

doi:10.1023/a:1017653106444

Cited by 1 publication

(2 citation statements)

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“…The article [36] presents the results of developing a decision-making system in the treatment of lower back pain. The study [37] is devoted to the application of simulation dynamics of the study of health processes. The work [38] describes the classification of design automation systems in biomedical engineering.…”

Section: State Of Artmentioning

confidence: 99%

“…Implementation of the considered situational approach taking into account the above principles is possible within the technology of decision support systems. An invariant approach is to use the structure of hybrid-type DSS presented in [10,37,50]. However, within the framework of the adopted structure, it is necessary to determine the way of interaction of three types of databasesdatabases, models and knowledge.…”

Section: Using Data Mining With Feedback To Assess the Functional mentioning

confidence: 99%

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The Concept of Decision Support in Evaluating the Functional State of Complex System of the Biological type

Nasyrov¹,

Yusupova²,

Zulkarneev³

et al. 2019

Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019)

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The aim of the work is to develop a conceptual approach to decision support in assessing the functional state of a complex system of biological type. The definition of the functional state and the basic principles of its evaluation for complex systems of biological type on the basis of system representations are formulated. A situational model of the problem environment as a set-theoretic composition of the main components and evaluation functions was developed, which allowed to formulate the definition of the problem situation. The structure of the application of data mining to assess the functional state of a complex system using as feedback models of three levels-strategic, tactical and operational. A system of coordinated models for decisionmaking in assessing the functional state of a complex system based on causal representations in the form of Markov chains and Petri nets is proposed.

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Section: State Of Artmentioning

confidence: 99%

Section: Using Data Mining With Feedback To Assess the Functional mentioning

confidence: 99%