CAPABILITIES OF ASSESSING THE RISK OF ACUTE MEDICAL CONDITIONS AMONG FUEL AND ENERGY INDUSTRY PERSONNEL BASED ON A TRAINED INTELLECTUAL MODEL
https://doi.org/10.52485/19986173_2025_4_74
Abstract
The article describes a novel software application for assessing cardiovascular disease risk factors. The underlying intelligent model was trained on a dataset of over 5 000 shift workers from the fuel and energy industry operating in the Far North. The software incorporates explainable artificial intelligence (XAI) for enhanced interpretability, offering: feature importance plots to identify key predictive variables, local explanations for individual case predictions, error analysis capabilities, and interactive visualization tools.
About the Authors
Y. S. Reshetnikova
Tyumen State Medical University
Russian Federation
Russian Federation
Reshetnikova Y.S., Candidate of Medical Sciences, Associate Professor of the Public Health and Health Care Department
AuthorID (РИНЦ): 857968, AuthorID (Scopus): 57200546966.
54 Odesskaya St., Tyumen, 625023
A. L. Katkova
Tyumen State Medical University
Russian Federation
Russian Federation
Katkova A.L., Candidate of Pedagogical Sciences, Associate Professor of the Department of Medical Informatics and Biological Physics
AuthorID (РИНЦ): 560740.
54 Odesskaya St., Tyumen, 625023
D. M. Slashcheva
Tyumen State Medical University
Russian Federation
Russian Federation
Slashcheva D.M., Candidate of Medical Sciences, Associate Professor of the Public Health and Health Care Department, Tyumen State Medical University
AuthorID (РИНЦ): 1019226, AuthorID (Scopus): 57221818762.
54 Odesskaya St., Tyumen, 625023
A. A. Kurmangulov
Tyumen State Medical University
Russian Federation
Russian Federation
Kurmangulov A.A., Doctor of Medical Sciences, Associate Professor, Professor of the Public Health and Health Care Department
AuthorID (РИНЦ): 769148, ResearcherID: AAT-3573-2020, AuthorID (Scopus): 57190403989.
54 Odesskaya St., Tyumen, 625023
N. S. Brynza
Tyumen State Medical University
Russian Federation
Russian Federation
Brynza N.S., Doctor of Medical Sciences, Professor, Head of the Public Health and Health Care Department
AuthorID (РИНЦ): 792717, AuthorID (Scopus): 57200542374.
54 Odesskaya St., Tyumen, 625023
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Review
For citations:
Reshetnikova Y.S., Katkova A.L., Slashcheva D.M., Kurmangulov A.A., Brynza N.S. CAPABILITIES OF ASSESSING THE RISK OF ACUTE MEDICAL CONDITIONS AMONG FUEL AND ENERGY INDUSTRY PERSONNEL BASED ON A TRAINED INTELLECTUAL MODEL. Transbaikalian Medical Bulletin. 2025;(4):74-83. (In Russ.) https://doi.org/10.52485/19986173_2025_4_74
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