Kazantseva, Anastasiya,
Davydova, Yuliya,
Enikeeva, Renata,
Mustafin, Rustam,
Malykh, Sergey,
Lobaskova, Marina,
Kanapin, Alexander,
Prokopenko, Inga,
Khusnutdinova, Elza (2023) -specific effect estimates in such
modeling is important for individual
risk assessment. © 2023 by the authors.
Timasheva, Y.,
Balkhiyarova, Z.,
Avzaletdinova, D.,
Rassoleeva, I.,
Morugova, T.V.,
Korytina, G.,
Prokopenko, I.,
Kochetova, O. (2023) ability of the
model containing polygenic scores for the variants associated with T2D in our dataset
predominance of women (64.16%). Lethal outcomes occurred in 62 (35.84%) patients.
Risk factors for lethal
Mukhtarova, Liliya A.,
Fedorova, Yulia Yu.,
Karunas, Aleksandra S.,
Prokofyeva, Darya S.,
Nurgalieva, Alfia Kh.,
Khusnutdinova, Elza K.,
Zagidullin, Shamil Z. (2023) , we assessed predictors of the
risks of exacerbation and death in BA and built multivariate
modelsKorytina, G.F.,
Aznabaeva, Y.G.,
Kochetova, O.V.,
Nasibullin, T.R.,
Akhmadishina, L.Z.,
Khusnutdinova, N.N.,
Zagidullin, N. Sh.,
Victorova, T.V. (2023) controls. Significant associations with COPD in the study group under an additive genetic
model were
Kan, Xiu,
Fan, Yixuan,
Zheng, Jinjie,
Kudreyko, Aleksey,
Chi, Chi-hung,
Song, Wanqing,
Tregubova, Albina (2023) -level malicious behavior analysis
model is established based on non-negative matrix factorization-Gaussian mixture
Deng, W.,
Gao, Y.,
Chen, J.,
Kudreyko, A.,
Cattani, C.,
Zio, E.,
Song, W. (2023) In this paper, an adaptive remaining useful life prediction
model is proposed for electric
vehicle
hybrid predictive
model, combining statistical properties and historical data training. In order
countries using jaw
models and simulators. The ongoing development and assimilation of practical skills