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Accounting System of Scientific Activity (ASSA) |
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Yuliya Semenova
Department: |
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Pluralist: |
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Room: |
Клиника, ул. Арбузова, 6, эндокринологическое отделение |
Email: |
SemenovaYF@bionet.nsc.ru |
Work phone: |
8(383)336-40-22 |
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Publications
2021 |
135-OR: Impaired Awareness of Hypoglycemia Is Associated with Residual Beta-Cell Function and Glucose Variability Parameters in Patients with Type 1 Diabetes
Klimontov V., Semenova J.F., Korbut A.I.
[DIABETES]
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340-P: Nocturnal Hypoglycemia Prediction in Hospitalized Patients with Type 1 Diabetes Using Combined Supervised and Unsupervised Ensemble Learning
Berikov V., Semenova J.F., Klimontov V.
[DIABETES]
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Continuous glucose monitoring parameters are related to serum levels of non-enzymatic glycation products in patients with type 1 diabetes
Klimontov VV, Dashkin MV, Semenova JF.
[DIABETOLOGIA]
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Machine learning approaches for prediction of nocturnal hypoglycaemia in patients with type 1 diabetes in a hospital setting
Berikov VB, Kozinetz RM, Semenova JF, Klimontov VV.
[DIABETOLOGIA]
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© 2010-2024 ICG SB RAS. All rights reserved. |
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