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Oleg Metsker

Showing results (11-20 of 22) with videos related to

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Studies in Health Technology and Informatics|October 22, 2020
Modelling of COVID-19 Morbidity in RussiaGeorgy Kopanitsa, Oleg Metsker, Alexey Yakovlev, et al.
Studies in Health Technology and Informatics|October 22, 2020
Prediction of a Due Date Based on the Pregnancy History Data Using Machine LearningOleg Metsker, Georgy Kopanitsa, Eduard Komlichenko, et al.
Studies in Health Technology and Informatics|October 22, 2020
Survival Analysis of COVID-19 Patients in Russia Using Machine LearningOleg Metsker, Georgy Kopanitsa, Alexey Yakovlev, et al.
Journal of Personalized Medicine|August 26, 2022
Application of Machine Learning Methods for Epilepsy Risk Ranking in Patients with Hematopoietic Malignancies UsingIaroslav Skiba, Georgy Kopanitsa, Oleg Metsker, et al.
Studies in Health Technology and Informatics|October 22, 2020
Identification of Diabetes Risk Factors in Chronic Cardiovascular PatientsOleg Metsker, Kirill Magoev, Stanislav Yanishevskiy, et al.
Journal of Personalized Medicine|September 26, 2025
Long-Term Outcomes in Aortic Stenosis: Mortality Analysis in a Selected Patient GroupOlga Irtyuga, Mary Babakekhyan, Oleg Metsker, et al.
Studies in Health Technology and Informatics|May 27, 2021
Gynecological Surgery and Machine Learning: Complications and Length of Stay PredictionOleg Metsker, Georgy Kopanitsa, Anton Malushko, et al.
Studies in Health Technology and Informatics|May 24, 2024
Time Series Forecasting of Cardiovascular Mortality: Machine Learning Based on State Economic and Local Medical DataGerman Gebel, Oleg Metsker, Alexey Fedorenko, et al.
BMC Medical Informatics and Decision Making|August 25, 2020
Identification of risk factors for patients with diabetes: diabetic polyneuropathy case studyOleg Metsker, Kirill Magoev, Alexey Yakovlev, et al.
Journal of Personalized Medicine|November 25, 2023
Analysis of Prevalence and Clinical Features of Aortic Stenosis in Patients with and without Bicuspid Aortic Valve Using Machine Learning MethodsOlga Irtyuga, Mary Babakekhyan, Anna Kostareva, et al.
Pageof 3

Showing results (11-20 of 22) with videos related to

Sort By:
Pageof 3
Studies in Health Technology and Informatics|October 22, 2020
Modelling of COVID-19 Morbidity in RussiaGeorgy Kopanitsa, Oleg Metsker, Alexey Yakovlev, et al.
Studies in Health Technology and Informatics|October 22, 2020
Prediction of a Due Date Based on the Pregnancy History Data Using Machine LearningOleg Metsker, Georgy Kopanitsa, Eduard Komlichenko, et al.
Studies in Health Technology and Informatics|October 22, 2020
Survival Analysis of COVID-19 Patients in Russia Using Machine LearningOleg Metsker, Georgy Kopanitsa, Alexey Yakovlev, et al.
Journal of Personalized Medicine|August 26, 2022
Application of Machine Learning Methods for Epilepsy Risk Ranking in Patients with Hematopoietic Malignancies UsingIaroslav Skiba, Georgy Kopanitsa, Oleg Metsker, et al.
Studies in Health Technology and Informatics|October 22, 2020
Identification of Diabetes Risk Factors in Chronic Cardiovascular PatientsOleg Metsker, Kirill Magoev, Stanislav Yanishevskiy, et al.
Journal of Personalized Medicine|September 26, 2025
Long-Term Outcomes in Aortic Stenosis: Mortality Analysis in a Selected Patient GroupOlga Irtyuga, Mary Babakekhyan, Oleg Metsker, et al.
Studies in Health Technology and Informatics|May 27, 2021
Gynecological Surgery and Machine Learning: Complications and Length of Stay PredictionOleg Metsker, Georgy Kopanitsa, Anton Malushko, et al.
Studies in Health Technology and Informatics|May 24, 2024
Time Series Forecasting of Cardiovascular Mortality: Machine Learning Based on State Economic and Local Medical DataGerman Gebel, Oleg Metsker, Alexey Fedorenko, et al.
BMC Medical Informatics and Decision Making|August 25, 2020
Identification of risk factors for patients with diabetes: diabetic polyneuropathy case studyOleg Metsker, Kirill Magoev, Alexey Yakovlev, et al.
Journal of Personalized Medicine|November 25, 2023
Analysis of Prevalence and Clinical Features of Aortic Stenosis in Patients with and without Bicuspid Aortic Valve Using Machine Learning MethodsOlga Irtyuga, Mary Babakekhyan, Anna Kostareva, et al.
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