Evaluation of informational diagnostic criteria and severity biomarkers using a discrimination model in patients with COVID-19

Gryhoriy Gradil; Oleg Avrunin; Kateryna Yurko; Natalia Shushlyapina; Yuliia Kalashnyk-Vakulenko; Mariia Shostatska; Aigul Iskakova

doi:10.35784/iapgos.9055

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Published: Jun 30, 2026

DOI: https://doi.org/10.35784/iapgos.9055

Issue Vol. 16 No. 2 (2026)

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Evaluation of informational diagnostic criteria and severity biomarkers using a discrimination model in patients with COVID-19
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Authors

Gryhoriy Gradil

hi.hradil@knnu.edu.ua

Kharkiv National Medical University of the Ministry of Health of Ukraine, Ukraine

Oleg Avrunin

oleh.avrunin@nure.ua

Kharkiv National University of Radio Electronics, Ukraine

Kateryna Yurko

kv.yurko@knmu.edu.ua

Kharkiv National Medical University of the Ministry of Health of Ukraine, Ukraine

https://orcid.org/0000-0002-1226-5431

Natalia Shushlyapina

no.shushliapina@knmu.edu.ua

Kharkiv National Medical University of Ministry of Health of Ukraine, Ukraine

Yuliia Kalashnyk-Vakulenko

ym.kalashnyk@knmu.edu.ua

Kharkiv National Medical University Ministry of Health of Ukraine, Ukraine

Mariia Shostatska

mariashostatska@gmail.com

Vinnytsia Academician D. K. Zabolotnyi Professional Medical College, Ukraine

Aigul Iskakova

a.iskakova@satbayev.university

Kazakh National Research Technical University named after K.I. Satpayev, Kazakhstan

https://orcid.org/0000-0001-8043-819X

Abstract

The paper examines the features of viral pneumonias that in the future may be caused by highly pathogenic viruses (HPCoVs) (SARS-CoV-2, MERS-CoV, SARS-CoV), H5N1, H5N7 and influenza A (H1N1) pdm. Rapidly progressive viral pneumonia that develops in these diseases can lead to a fatal complication – acute respiratory distress syndrome (ARDS). Confirmation and refutation of the diagnosis of ARDS today is a difficult task that requires the development and improvement of diagnostic methods. To compare the diagnostic effectiveness of the methods, the possibility of using criteria and parametric recognition models was considered. The discrimination model was built on the basis of the quadratic normalized Euclidean distance between the vectors of mean values by state of quantities. The perspective of the work is to improve methods for assessing diagnostic criteria and severity biomarkers using a discrimination model based on quadratic notched Euclidean distance, which will allow improving the detection of ARDS – a fatal complication of respiratory system infection with highly pathogenic viruses.

Keywords:

ARDS, pneumonia viral, COVID-19, biomarkers, human health, medical diagnostic

Sustainable Development Goals (SDG)

3 - Good health and well-being
17 - Partnerships for the goals

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Gradil, G., Avrunin, O., Yurko, K., Shushlyapina, N., Kalashnyk-Vakulenko, Y., Shostatska, M., & Iskakova, A. (2026). Evaluation of informational diagnostic criteria and severity biomarkers using a discrimination model in patients with COVID-19. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 16(2), 26–31. https://doi.org/10.35784/iapgos.9055

Evaluation of informational diagnostic criteria and severity biomarkers using a discrimination model in patients with COVID-19

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