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Intelligent Decision-Support System for Epidemiological Diagnostics. I. A Concept of Architecture Design
K O Bazilevych1, D I Chumachenko1, L F Hulianytskyi2
1M. Ye. Zhukovsky National Aerospace University "Kharkiv Aviation Institute,", Kharkiv, Ukraine.
Cybernetics and Systems Analysis
|September 6, 2022
Summary
This study explores decision support for epidemiological diagnostics using mathematical tools and epidemic modeling. It proposes an intelligent information system architecture for improved public health decision-making.
Area of Science:
- Epidemiology and Public Health
- Informatics
- Mathematical Modeling
Background:
- Decision support for epidemiological diagnostics is crucial for public health.
- Current research involves mathematical tools for morbidity data analysis and epidemic process modeling.
- Formalizing decision-making features in epidemiology is essential.
Purpose of the Study:
- To investigate decision support problems in epidemiological diagnostics.
- To propose principles for developing an intelligent information system for this purpose.
- To present a systemic model and interaction models for the proposed system.
Main Methods:
- Analysis of the current state of research in epidemiological decision support.
- Formalization of decision-making features in epidemiology and public health.
- Development of systemic and interaction models for an intelligent information system.
Main Results:
- A formalized understanding of decision-making in epidemiology and public health.
- Developed systemic and interaction models for an intelligent decision support system.
- Proposed architectural concept for an intelligent information system tailored to epidemiological diagnostics.
Conclusions:
- Intelligent information systems can significantly enhance decision support for epidemiological diagnostics.
- The proposed system architecture addresses the unique features of epidemiological decision-making.
- Mathematical tools and epidemic modeling are foundational for effective public health informatics.
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