Intelligent Decision-Support System for Epidemiological Diagnostics. I. A Concept of Architecture Design

9Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The problems of decision support for epidemiological diagnostics are investigated. The basis for supporting decision-making is mathematical tools for analyzing morbidity data, as well as modeling of epidemic processes. The current state of research in this area is analyzed. The features of decision-making in epidemiology and public health are formalized. Principles for the development of an intelligent information system for decision-making support for epidemiological diagnostics are proposed. A systemic model of the system, a model of the interaction of elements of the epidemiological diagnostics system and the interaction of logical components of the information system has been developed. Taking into account the identified features of these processes, the concept of the architecture of such an intelligent information system is proposed.

References Powered by Scopus

Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy

1311Citations
N/AReaders
Get full text

A Simulation of a COVID-19 Epidemic Based on a Deterministic SEIR Model

240Citations
N/AReaders
Get full text

Computer decision support systems

94Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Intelligent Decision-Support System for Epidemiological Diagnostics. II. Information Technologies Development<sup>*</sup>, <sup>**</sup>

3Citations
N/AReaders
Get full text

Disease Spread Control in Cruise Ships: Monitoring, Simulation, and Decision Making

2Citations
N/AReaders
Get full text

Methodologies and Handling Techniques of Large-Scale Information in Decision Support Systems for Complex Missions

1Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Bazilevych, K. O., Chumachenko, D. I., Hulianytskyi, L. F., Meniailov, I. S., & Yakovlev, S. V. (2022). Intelligent Decision-Support System for Epidemiological Diagnostics. I. A Concept of Architecture Design. Cybernetics and Systems Analysis, 58(3), 343–353. https://doi.org/10.1007/s10559-022-00466-x

Readers' Seniority

Tooltip

Professor / Associate Prof. 1

33%

Lecturer / Post doc 1

33%

Researcher 1

33%

Readers' Discipline

Tooltip

Medicine and Dentistry 1

33%

Engineering 1

33%

Earth and Planetary Sciences 1

33%

Save time finding and organizing research with Mendeley

Sign up for free