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Updated: Aug 24, 2025

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Intelligent Decision-Support System for Epidemiological Diagnostics. II. Information Technologies Development*, *.

K O Bazilevych1, D I Chumachenko1, L F Hulianytskyi2

  • 1M. Ye. Zhukovsky National Aerospace University "Kharkiv Aviation Institute,", Kharkiv, Ukraine.

Cybernetics and Systems Analysis
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Summary

This study presents an intelligent decision support system for epidemiological diagnostics, integrating machine learning and population dynamics models. It enhances biosafety through advanced information technology for better public health management.

Keywords:
decision support systemepidemiological diagnosticsinformation technologymachine learningpopulation dynamics

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Area of Science:

  • Epidemiology
  • Public Health
  • Computer Science

Background:

  • Effective epidemiological diagnostics are crucial for public health.
  • Existing systems may lack integrated modeling and decision support capabilities.
  • Ensuring population biosafety requires advanced technological solutions.

Purpose of the Study:

  • To project the components of an intelligent decision support system for epidemiological diagnostics.
  • To investigate the system's interaction with users.
  • To propose an information technology concept for population biosafety.

Main Methods:

  • Development of a system comprising model banks (machine learning, population dynamics), visualization tools, and a decision-making unit.
  • Creation of a model for information technology use cases.
  • Construction of a sequence diagram to illustrate system interactions.
  • Proposal of a model for information technology components and server deployment.

Main Results:

  • The system integrates diverse models and tools for comprehensive epidemiological analysis.
  • User interaction with the system is a key consideration in its design.
  • A conceptual framework and specific models for information technology in biosafety are presented.
  • Deployment strategies for the system's components on a server are outlined.

Conclusions:

  • The proposed intelligent decision support system offers a robust framework for epidemiological diagnostics.
  • The integration of machine learning and population dynamics models enhances diagnostic capabilities.
  • The information technology concept provides a pathway to improved population biosafety.
  • The system's design facilitates effective management decision-making in public health emergencies.