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М. А. Alymenko

Association of Polymorphic Gene Variants of Xenobiotic Biotransformation Enzymes with Lung Tissue Destruction in Tuberculosis Patients
2022 · M. A. Alymenko, R. Sh. Valiev, et al. · Tuberculosis and lung diseases · 5
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Association of genotypes of biotransformation enzymes with susceptibility to chronic pulmonary tuberculosis
2024 · Maxim A. Alymenko, Ravil Sh. Valiev, et al. · Consilium Medicum · 2
The effect of Polymorphism of the MDR1 (ABCB1) Gene on the Risk of Hepatotoxic Reactions in Patients with Pulmonary Tuberculosis
2023 · М. А. Alymenko, R. Sh. Valiev, et al. · Antibiot Khimioter = Antibiotics and Chemotherapy · 2
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Association of polymorphic gene variants of xenobiotic biotransformation enzymes with susceptibility to pulmonary tuberculosis
2022 · M. A. Alymenko, R. Sh. Valiev, et al. · Tuberculosis and lung diseases · 2
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The importance of rehabilitation in patients with pulmonary tuberculosis
2026 · M. A. Alymenko, R. Sh. Valiev, et al. · Реабилитология.
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Objective: To justify the inclusion of input parameters in a neural network designed to predict rehabilitation measures for patients with pulmonary tuberculosis who have lost their permanent work capacity. Material and methods. The study included 335 patients with pulmonary tuberculosis, 212 with a newly diagnosed case and 123 with a chronic form. To predict the effectiveness of rehabilitation measures, a neural network was developed in the Python 3.14 programming language. Its architecture incorporates a multilayer perceptron with direct connections between neurons and backpropagation algorithms. In the context of this study, it was advisable to use a neural network for predicting permanent disability in patients with pulmonary tuberculosis. Results. The following were integrated as input parameters of the neural network: genotype DD of the GSTM1 gene, genotype EE of the GSTT1 gene, genotype ТС of the АВСВ1 gene and polymorphic variants of cytokine genes, including tumor necrosis factor alpha (–308G>A (rs1800629)), interleukin (IL) 1-beta (–31C>T (rs1143627)), IL-4 (–589C>T) (rs2243250)), IL-10 (–592C>A (rs1800872)), and IL-10 (–1082A>G (rs1800896)). Additionally, an adverse recurrent course, multiple and extensive drug resistance, and persistent respiratory and cardiopulmonary failure following a course of rehabilitation were incorporated. Regression analysis showed the statistical significance of all input parameters with respect to the modeling of the dependent variable. As a result of testing the neural network, the prediction accuracy (rehabilitation efficiency) was 88,3%. Conclusion. The use of a neural network provides highly accurate predictions regarding the effectiveness of rehabilitation of patients with pulmonary tuberculosis. This method can be incorporated into clinical pulmonology practice to evaluate persistent disability in such patients. The presented predictive model is expected to form the basis of a comprehensive rehabilitation program that addresses medical, professional and social aspects.ural networks
2026 · M. A. Alymenko, I. E. Garbuzova, et al. · Реабилитология.
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IFN-γ/IL-10 ratio as an indicator of treatment effectiveness in patients with pulmonary tuberculosis
2025 · M. A. Alymenko, N. P. Balobanova, et al. · HIV Infection and Immunosuppressive Disorders
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The Role of Hepatoprotection in the Treatment of Pulmonary Tuberculosis Comorbid with HIV Infection and Chronic Viral Hepatitis
2025 · V. M. Kolomiets, N. A. Polshikova, et al. · Antibiot Khimioter = Antibiotics and Chemotherapy
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Comorbid Tuberculosis in the Context of the Formation of a Local Epidemic Situation
2025 · V. M. Kolomiets, N. A. Polshikova, et al. · Antibiot Khimioter = Antibiotics and Chemotherapy
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Association of polymorphism of the glutathione-s-transferase M1 gene and tumor necrosis factor alpha with the formation and size of decay cavities in patients with pulmonary tuberculosis
2024 · M. A. Alymenko, N. E. Kolchanova, et al. · HIV Infection and Immunosuppressive Disorders
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Association of polymorphic variants of genes of xenobiotic biotransformation enzymes with susceptibility to pulmonary tuberculosis, taking into account gender features
2024 · M. A. Alymenko, R. Sh. Valiev, et al. · Сибирский научный медицинский журнал
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Features of cytokine production in patients with pulmonary tuberculosis during specific chemotherapy
2024 · M.A. Alymenko, R.Sh. Valiyev, et al. · JOURNAL of SIBERIAN MEDICAL SCIENCES
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Neural network technologies in prediction the effectiveness of treatment of patients with pulmonary tuberculosis
2023 · M. A. Alymenko, R. Sh. Valiev, et al. · ASTRAKHAN MEDICAL JOURNAL
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Works count: 13
Citation count: 11
H-index: 2
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