Evidence map›Paper›PMID 36065231›Full record

ArticleCybernetics and systems analysis2022

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

K O Bazilevych, D I Chumachenko, L F Hulianytskyi, I S Meniailov, S V Yakovlev

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cybernetics and systems analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

K O BazilevychM. Ye. Zhukovsky National Aerospace University "Kharkiv Aviation Institute,", Kharkiv, Ukraine.
D I ChumachenkoM. Ye. Zhukovsky National Aerospace University "Kharkiv Aviation Institute,", Kharkiv, Ukraine.
L F HulianytskyiV. M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine.
I S MeniailovM. Ye. Zhukovsky National Aerospace University "Kharkiv Aviation Institute,", Kharkiv, Ukraine.
S V YakovlevM. Ye. Zhukovsky National Aerospace University "Kharkiv Aviation Institute,", Kharkiv, Ukraine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

decision support systemepidemic modelepidemic monitoringinfectious diseases controlinformation system

Identifiers

PMID36065231
PMCPMC9433526

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.