Song, Wanqing,
Chen, Jianxue,
Wang, Zhen,
Kudreyko, Aleksey,
Qi, Deyu,
Zio, Enrico (2023) –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
Yuan, Yuchen,
Chen, Jianxue,
Rong, Jin,
Cattani, Piercarlo,
Kudreyko, Aleksey,
Villecco, Francesco (2023) with a differential iterative
model with it as the noise term is constructed according
to the fractional
Chu, Jiawei,
Kan, Xiu,
Che, Yan,
Song, Wanqing,
Aleksey, Kudreyko,
Dong, Zhengyuan (2024) , and eliminating invalid characters. Subsequently, a medical entity recognition
model is developed to identify
ASSOCIATIONS OF THE NRF2/KEAP1 PATHWAY AND ANTIOXIDANT DEFENSE GENE POLYMORPHISMS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASEKorytina, G.F.,
Akhmadishina, L.Z.,
Aznabaeva, Y.G.,
Kochetova, O.V.,
Zagidullin, N.S.,
Kzhyshkowska, J.G.,
Zagidullin, S.Z.,
Viktorova, T.V. (2019) population). Logistic regression was used to detect the association of SNPs in different
models. Linear