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Искусственный интеллект: объяснительная и прогностическая модели в медицине. Принципы построения и возможности использования
Кузнецов А.И., Щепкина Е.В., Сушинская Т.В., Епифанова С.В., Фаур Мохамадович, Каприн А.Д., Стуклов Н.И.
of mathematical models of complex systems, including human body. Materials and Methods. The review comprises
On the development problems of multivariate process control systems
Sobolev O.S.
Structural aspects of industrial multivariate control tasks are discussed with the focus
DETERMINATION OF INTRAVITAM BODY TYPE IN MEN DRAWING ON THE OSTEOMETRIC CHARACTERISTICS OF SKELETONISED CLAVICLES
Smirnov A.V., Sundukov D.V.
, which include the person’s body type. The present study focuses on a new method for determining
Ensembles of neural network for telemetry multivariate time series forecasting
Doudkin, A. A., Marushko, E. E.
In this paper, we propose to solve the problem of forecasting multivariate time series of telemetry
Ensembles of neural network for telemetry multivariate time series forecasting
Doudkin, A. A., Marusko, E. E.
In this paper, we propose an approach to solving the problem of forecasting multivariate time
Total probability formula for vector gaussian distributions
Mukha, V. S., Kako, N. F.
with the multivariate probability distributions. The necessary integrals are not available in the literature. One
Baranchick-type Estimators of a Multivariate Normal Mean Under the General Quadratic Loss Function
Hamdaoui, Abdenour, Benkhaled, Abdelkader, Terbeche, Mekki, Хамдауи, Абденур, Бенхалед, Абделькадер, Тербече, Мекки
The problem of estimating the mean of a multivariate normal distribution by different types
Solution of Quantum Mechanical Problems Using Finite Element Method and Parametric Basis Functions
Chuluunbaatar O., Vinitsky S.I., Gusev A.A., Derbov V.L., Krassovitskiy P.M.
-accuracy finite element method (FEM) for the solution of quantum mechanical boundary-value problems (BVPs
Многофакторный анализ риска летального исхода у ВИЧ-инфицированных больных
Вознесенский С.Л., Лукьянова Е.А., Ермак Т.Н., Корнева Ирина, Сюрко Г.В.
-infected patients using multivariate analysis. Materials and methods. We performed retrospective analysis of 1
High peripheral neutrophil and monocyte count distinguishes renal cell carcinoma from renal angiomyolipoma and predicts poor prognosis of renal cell carcinoma
Sun Jiajia, Chang Qinzheng, He Xiaoli, Zhao Shuo, Zhang Nianzhao, Fan Yidong, Liu Jikai
as their prognostic significance in RCC.MethodsWe conducted a comprehensive analysis of peripheral immune cell data

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