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Многофакторная прогностическая модель у пациентов с инфарктом миокарда в отдаленном периоде на основе современных биомаркеров
MULTIFACTOR PREDICTIVE MODEL IN PATIENTS WITH MYOCARDIAL INFARCTION BASED ON MODERN BIOMARKERS
Khamitova, A.F., Lakman, I.A., Akhmetvaleev, R.R., Tulbaev, E.L., Gareeva, D.F., Zagidullin, Sh.Z, Zagidullin, NS, Хамитова А. Ф., Лакман И. А., Ахметвалеев Р. Р., Тулбаев Э. Л., Гареева Д. Ф., Загидуллин Ш. З.,, Загидуллин Н. Ш. (2020)
infarction (MI) by constructing a multifactorial model for prediction of cardiovascular complications (CVC
COMBINING NOVEL BIOMARKERS FOR RISK STRATIFICATION OF TWO-YEAR CARDIOVASCULAR MORTALITY IN PATIENTS WITH ST-ELEVATION MYOCARDIAL INFARCTION
ZAGIDULLIN, N.SH., MOTLOCH, LUKAS J,, GAREEVA, D.F., HAMITOVA, AYSILU, LAKMAN, I.A., KRIONI, ILJA, POPOV, DENIS, ZULKARNEEV, R.KH., PAAR, VERA, KOPP, KRISTEN, JIRAK, PETER, ISHMETOV, V.SH., HOPPE, UTA C., TULBAEV, EDUARD, V.N. Pavlov (2020)
.001). When two biomarkers were combined in a multivariate Cox regression model, relevant improvement of risk
Fractional Levy stable motion: Finite difference iterative forecasting model
Liu, H., Song, W., Li, M., Kudreyko, A., Zio, E. (2020)
forecasting model with Long Range Dependent (LRD) characteristics. The LRD forecasting model considers
ТЕХНОЛОГИЯ ОЦЕНКИ ОБЪЕМА ПОСЛЕРОДОВОЙ КРОВОПОТЕРИ
TECHNOLOGY FOR QUANTIFYING THE POSTPARTUM BLOOD LOSS
ЗИГАНШИН, А.М., МУДРОВ, В.А., ZIGANSHIN A.M., MUDROV V.A. (2020)
3D MODELING
DETERMINATION OF THE VOLUME OF EARLY HYPOTONIC HEMORRHAGE BY 3D MODELING OF ULTRASOUND INVESTIGATION RESULTS
ZIGANSHIN, A.M., MUDROV, V.A., LYAPUNOV, A.K. (2020)
. The method is based on clinical application of 3D modeling of results obtained by ultrasound investigations
ОЦЕНКА ВЫЖИВАЕМОСТИ ГЛУБОКО НЕДОНОШЕННЫХ ДЕТЕЙ В НЕОНАТАЛЬНОМ, ПОСТНАТАЛЬНОМ И ДЕТСКОМ ПЕРИОДАХ
ANALYSIS OF THE HEALTH STATE OF THE POPULATION OF THE URAL (MINING) REGION OF THE REPUBLIC OF BASHKORTOSTAN
БАХИТОВА, Р.Х., АСКАРОВА, З.Ф., ДАВЛЕТШИН, Р.А., ЛАКМАН, И.А., НУРМУХАМЕТОВА, Р.А., ЧУЕНКОВА, Г.А., Bakhitova, R.Kh., Lakman, I.A., Maksimenko, Z.V., Bryukhanova, O.A., Shangareeva, R.Kh. (2020)
DISABILITY RISK
ПРЕЖДЕВРЕМЕННЫЕ РОДЫ КАК ОСНОВНАЯ ПРИЧИНА МЛАДЕНЧЕСКОЙ ЗАБОЛЕВАЕМОСТИ И СМЕРТНОСТИ
PRETERM BIRTH AS THE MAIN REASON FOR INFANT MORTALITY AND MORBIDITY
Брюханова, О.А., Бахитова, Р.Х., Ахмадеева, Э.Н., Ильина, А.А., Bryukhanova, O.A., Bakhitova, R.Kh., Akhmadeeva, E.N., Ilyina, A.A. (2020)
Reliability analysis of power distribution network based on Pso-DBN
Shan, H., Sun, Y., Zhang, W., Kudreyko, A., Ren, L. (2020)
the characteristics of large-scale parallel processing and self-learning, a deep belief network (DBN) simulation model
Combined Influences of Genetic Factors and Attention Deficit Hyperactivity Disorder on the Development of Dependence on Synthetic Cannabinoids
Gareeva, A.E., Sharafiev, R.R., Akhmetova, E.A., Nasibullin, T.R., Fakhurtdinova, Z.R., Yuldashev, V.L., Asadullin, A.R. (2020)
Objectives. To create a complex model of the individual risk of developing dependence on synthetic
SURFACE EFFECTS IN THE MODEL OF POLYMER-STABILIZED FERROELECTRIC LIQUID CRYSTAL CELLS
SONG, W., KUDREYKO, A.A., MIGRANOV, N.G. (2020)
. The model of polymer-stabilized ferroelectric liquid crystal cell with a quasi-bookshelf layer structure

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