Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Oleg G. Metsker"'
Autor:
Sergey V. Kovalchuk, Oleg G. Metsker, Anastasia A. Funkner, Ilia O. Kisliakovskii, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Danila A. Vaganov, Klavdiya O. Bochenina
Publikováno v:
Complexity, Vol 2018 (2018)
Complex systems’ modeling and simulation are powerful ways to investigate a multitude of natural phenomena providing extended knowledge on their structure and behavior. However, enhanced modeling and simulation require integration of various data a
Externí odkaz:
https://doaj.org/article/08ce6531a47844f88bea413a07ff9859
Publikováno v:
Procedia Computer Science. 193:393-401
Maternal sepsis is a cause of 11% of maternal lethal cases worldwide. It is the third most common reason of maternal death. In recent years, healthcare observes the emergence of machine learning as a new tool to analyze large amounts of data to revea
Autor:
Sergey V. Kovalchuk, Oleg G. Metsker, Nadezhda Zvartau, Katerina V. Bolgova, Marina Balakhontceva
Publikováno v:
International Journal of E-Health and Medical Communications. 11:93-106
This study investigated the most common challenges of human-computer interaction (HCI) while using electronic health records (EHR) based on the experience of a large Russian medical research center. The article presents the results of testing DSS imp
Publikováno v:
Современные тенденции развития частного права, исполнительного производства и способов юридической защиты. материалы VIII всероссийской научно-практической конференции.
Publikováno v:
АКТУАЛЬНЫЕ ВОПРОСЫ РАЗВИТИЯ ГОСУДАРСТВЕННОСТИ И ПУБЛИЧНОГО ПРАВА. материалы VIII международной научно-практической конференции.
Autor:
Georgy Kopanitsa, Oleg G. Metsker
One serious pandemic can nullify years of efforts to extend life expectancy and reduce disability. The coronavirus pandemic has been a perturbing factor that has provided an opportunity to assess not only the effectiveness of health systems for cardi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::865cbba520e54c202b2ce85f1e0b8a89
https://doi.org/10.3233/shti210835
https://doi.org/10.3233/shti210835
Publikováno v:
pHealth
According to different systematic reviews incidence of thoracic aortic aneurysms (TAA) in the general population is increasing in frequency ranging from 5 to 10.4 per 100000 patients. However, only few studies have illustrated the role of different r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86031736fd45afb156e2d5638d18d52e
https://doi.org/10.3233/shti210585
https://doi.org/10.3233/shti210585
Publikováno v:
pHealth
Due to the specific circumstances related to the COVID-19 pandemic, many countries have enforced emergency measures such as self-isolation and restriction of movement and assembly, which are also directly affecting the functioning of their respective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a78973a4ec5783dd91baf9ded8536d21
https://doi.org/10.3233/shti210610
https://doi.org/10.3233/shti210610
Publikováno v:
pHealth
Endometrial cancer (EC) is the most common gynecological tumor in high-income countries, and its incidence has increased over time. The most critical risk factor for EC is the long-term unopposed exposure to increased estrogens both exogenous and end
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb88bc255addd19fc16ce1f493ba61fa
https://doi.org/10.3233/shti210597
https://doi.org/10.3233/shti210597
Autor:
Anton V. Malushko, Georgy Kopanitsa, Katerina V. Bolgova, E. V. Komlichenko, Oleg G. Metsker, David Paskoshev
Publikováno v:
MIE
In this study we are developing predictive models for a length of stay after a gynecological surgery, complications and the length of the surgery using machine learning methods. The study was performed with the data of patients with the diseases of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f2f7a70ed7c5c74c35e62010122b2da
https://doi.org/10.3233/shti210236
https://doi.org/10.3233/shti210236