Neural network technologies in prediction the effectiveness of treatment of patients with pulmonary tuberculosis
https://doi.org/10.17021/1992-6499-2023-4-11-18
Abstract
The study used predicting the effectiveness of treatment of patients with pulmonary tuberculosis using neural network technologies. The most optimal neural network model was obtained, which allows predicting the effectiveness of treatment with a forecast accuracy of at least 78.4%. As a result of constructing a neural network model, the most significant «input» parameters of the neural network were identified: the presence of hepatotoxic reactions, the level of IL-1ß, IL-6, IL-4, IL-10, IFN-γ, C-reactive protein before the start of the intensive phase of chemotherapy, the presence of antibiotic resistance, the presence of mycobacterium tuberculosis before the appointment of a specific chemotherapy by seeding, the volume of lung tissue damage, the chemotherapy regimen, the clinical form of pulmonary tuberculosis, as well as the genotype of ЕЕ gene GSTT1.
Supporting agencies: The authors declare that there is no external funding for the exploration and analysis work
About the Authors
M. A. Alymenko
Kazan State Medical Academy - branch of the Russian Ministry of Health; Moscow Financial and Industrial University «Synergy»
Russian Federation
Russian Federation
Maksim A. Alymenko - Cand. Sci. (Med.), Assistant of Department, Kazan SMA – branch of the RMA for Post-Graduate Education, Associate Professor the Department of General Biology and Pharmacy, Faculty of Medicine, MF IU “Synergy"
Kazan, Moscow
R. Sh. Valiev
Kazan State Medical Academy - branch of the Russian Ministry of Health
Russian Federation
Russian Federation
Ravil Sh. Valiev - Dr. Sci. (Med.), Professor, Head of Department.
Kazan
N. R. Valiev
Kazan State Medical Academy - branch of the Russian Ministry of Health
Russian Federation
Russian Federation
Nail R. Valiev - Cand. Sci. (Med.), Associate Professor of Department.
Kazan
V. M. Kolomiets
Kursk State Medical University of the Ministry of Health of Russia
Russian Federation
Russian Federation
Vladislav M. Kolomiets - Dr. Sci. (Med.), Professor, Professor of Department.
Kursk
S. N. Volkova
Kursk State Agricultural University named after Ivanova
Russian Federation
Russian Federation
Svetlana N. Volkova - Dr. Sci. (Tech.), Professor, Head of Department.
Kursk
А. V. Polonikov
Kursk State Medical University of the Ministry of Health of Russia
Russian Federation
Russian Federation
Aleksey V. Polonikov - Dr. Sci. (Med.), Professor, Director of Research Institute of Genetic and Molecular Epidemiology.
Kursk
G. S. Mal
Kursk State Medical University of the Ministry of Health of Russia
Russian Federation
Russian Federation
Galina S. Mal - Dr. Sci. (Med.), Professor, Head of Department.
Kursk
I. N. Tragira
National Medical Research Center of Phthisiopulmonology and Infectious Diseases
Russian Federation
Russian Federation
Irina N. Tragira - Chief infectiologist of Central Federal District, Head of the Center of the General Infektologiya.
Moscow
V. A. Ragulina
Kursk State Medical University of the Ministry of Health of Russia
Russian Federation
Russian Federation
Vera A. Ragulina - Cand. Sci. (Med.), Associate Professor, Associate Professor of Department.
Kursk
E. V. Popova
Voronezh Regional Children's Clinical Hospital № 2
Russian Federation
Russian Federation
Elizaveta V. Popova - Pediatrician.
Voronezh
E. P. Pavlenko
Kursk State Medical University of the Ministry of Health of Russia
Russian Federation
Russian Federation
Elizaveta P. Pavlenko - Assistant of Department.
Kursk
N. P. Balobanova
Moscow Financial and Industrial University «Synergy»
Russian Federation
Russian Federation
Natalia Р. Balobanova - Cand. Sci. (Biol.), Associate Professor, Head of the Department of General Biology and Pharmacy, Faculty of Medicine.
Moscow
А. V. Batishchev
Moscow Financial and Industrial University «Synergy»
Russian Federation
Russian Federation
Aleksandr V. Batishchev - Cand. Sci. (Econ.), Associate Professor.
Moscow
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Review
For citations:
Alymenko M.A., Valiev R.Sh., Valiev N.R., Kolomiets V.M., Volkova S.N., Polonikov А.V., Mal G.S., Tragira I.N., Ragulina V.A., Popova E.V., Pavlenko E.P., Balobanova N.P., Batishchev А.V. Neural network technologies in prediction the effectiveness of treatment of patients with pulmonary tuberculosis. Astrakhan medical journal. 2023;18(4):11-18. (In Russ.) https://doi.org/10.17021/1992-6499-2023-4-11-18
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