Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Ekaterina Bolgova"'
Publikováno v:
Studies in health technology and informatics. 285
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=pmid________::8bc15f91f96871ac187737a5d7bba605
https://pubmed.ncbi.nlm.nih.gov/34734873
https://pubmed.ncbi.nlm.nih.gov/34734873
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:
Ayman Berdybekova, Ekaterina Bolgova
Publikováno v:
ОҚМПУ ХАБАРШЫСЫ – ВЕСТНИК ЮКГПУ. 26:16-29
The paper deals with the interrelation between the economy and the educational system in the state, the dependence of their development. The authors show it by the example of two contrasting countries in terms of development, Norway and the Central A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7799f4f16f4c71b9e40d7e92ca630f06
https://doi.org/10.47751/skspu-1937-0013
https://doi.org/10.47751/skspu-1937-0013
Autor:
Egor Efimov, Ekaterina Bolgova, Egor Viktorovich Trofimov, Oleg Gennad'evich Metsker, Georgy Kopanitsa, Alexey Yakovlev
Publikováno v:
Procedia Computer Science. 178:386-393
This article describes the study results of development methods and algorithms for performance improvement in the big data analysis and training of machine learning models. The data growing and complexity problem describing complex processes require
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::315a68b68a964b61ac97bccab90001f8
https://doi.org/10.1016/j.procs.2020.11.040
https://doi.org/10.1016/j.procs.2020.11.040
Autor:
Oleg, Metsker, Georgy, Kopanitsa, Eduard, Komlichenko, Maria, Yanushanets, Ekaterina, Bolgova
Publikováno v:
Studies in health technology and informatics. 273
Prediction of a labor due date is important especially for the pregnancies with high risk of complications where a special treatment is needed. This is especially valid in the countries with multilevel health care institutions like Russia. In Russia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::c9327cfaa8eed7b64e72d225f53674a4
https://pubmed.ncbi.nlm.nih.gov/33087598
https://pubmed.ncbi.nlm.nih.gov/33087598
Publikováno v:
Studies in health technology and informatics. 273
Timely identification of risk factors in the early stages of pregnancy, risk management and mitigation, prevention, adherence management can reduce the number of adverse perinatal outcomes and complications for both mother and a child. We have retros
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::81963bdb80aabf1eb1014da1798dd7ac
https://pubmed.ncbi.nlm.nih.gov/33087599
https://pubmed.ncbi.nlm.nih.gov/33087599
Publikováno v:
"Arterial’naya Gipertenziya" ("Arterial Hypertension"). 24:704-709
Background.One of the key problems of keeping records in medical information systems is the correctness of the data entry. Even the simplest decision support systems (DSS) can be highly useful regarding the reduction in the number of errors in enteri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a7a30f5ddcdfceef854b95b62aad9ab
https://doi.org/10.18705/1607-419x-2018-24-6-704-709
https://doi.org/10.18705/1607-419x-2018-24-6-704-709
Autor:
Sergey V. Kovalchuk, Oleg G. Metsker, Alexey N. Yakovlev, Ekaterina Bolgova, Anastasia A. Funkner
Publikováno v:
Procedia Computer Science. 119:197-206
This paper presents the application of text mining methods to the texts in electronic health records (EHR). It is shown in an experimental study how to raise the data possibility to reflect the real medical processes for process modeling tasks. The m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::989a68b7b37c436c1088b65ba62af231
https://doi.org/10.1016/j.procs.2017.11.177
https://doi.org/10.1016/j.procs.2017.11.177
Autor:
Sergey Kesarev, Ekaterina Bolgova, Kirill Golubev, Alexey N. Yakovlev, Oleg G. Metsker, Sergey V. Kovalchuk, Andrey Karsakov
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030227494
ICCS (5)
ICCS (5)
This article describes the results of multidisciplinary research in the areas of analysis and modeling of complex processes of treatment on the example of patients with cardiovascular diseases. The aim of this study is to develop tools and methods fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a38fd7ec967c4586f7f285c7bc32fc7e
https://doi.org/10.1007/978-3-030-22750-0_65
https://doi.org/10.1007/978-3-030-22750-0_65
Autor:
Tesfamariam M. Abuhay, Alexey V. Krikunov, Sergey V. Kovalchuk, Ekaterina Bolgova, Ludmila G. Ratova
Publikováno v:
Procedia Computer Science. 101:143-151
This paper describes the results of simulations of patients’ flow in a specialized medical center. The description of a model which contains two-component is provided and this model is used to estimate load of four departments of Almazov center due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2719975b2b45f36f2675151b1b5b6df5