for several temperature regimes. The validation of the realized model is confirmed by comparing the numerical

СПОСОБ МОДЕЛИРОВАНИЯ РЕЦЕССИИ ДЕСНЫMETHOD FOR MODELING GUM RECESSION

ability of the model containing polygenic scores for the variants associated with T2D in our dataset

classification model based on the logistic regression method has been proposed and developed. The developed

Machine Learning Methods and Models for Recognizing Lung Inhomogeneity from Computed Tomography

–Stieltjes transform and Monte Carlo simulation. The proposed degradation model exhibits flexibility for capturing long

dehydrogenase, and C-reactive protein levels. Use of a model based on multivariate analysis allowed

with a differential iterative model with it as the noise term is constructed according to the fractional

Маршрутизация и логистика больных туберкулезом легких при отборе на хирургическое лечение в Республике Башкортостанlogistic models

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