Zobrazeno 1 - 6
of 6
pro vyhledávání: '"T. N. Erivantseva"'
Autor:
A. V. Alekhin, T. N. Erivantseva, V. V. Ryazhenov, N. N. Lyskov, N. A. Alekhina, M. M. Kuznetsova
Publikováno v:
Фармация и фармакология (Пятигорск), Vol 11, Iss 2, Pp 161-172 (2023)
The aim of the work was to study the legal aspects of the legislative regulation for manufacturing medicines in a pharmacy organization.Materials and methods. Databases of ConsultantPlus, Cyberleninka, Food and Drug Administration (FDA), European Med
Externí odkaz:
https://doaj.org/article/7457954f912b42b8adab0c2ba2fcaae5
Autor:
T. N. Erivantseva, Yu. V. Blokhina
Publikováno v:
Фармакоэкономика, Vol 14, Iss 2 (2021)
The article provides an overview of the advantages and issues associated with the use of artificial intelligence (AI) and machine learning (ML) in medicine. Based on the analysis of scientific publications, the leading healthcare areas using AI and M
Externí odkaz:
https://doaj.org/article/1e648b4630774d539b4902f16b2a38e8
Autor:
T. N. Erivantseva
Publikováno v:
Ekonomika Nauki, Vol 4, Iss 4, Pp 261-271 (2018)
As part of the implementation of the approved presidential decrees “On the strategy of scientific and technological development of the Russian Federation” and the national project “Science”, the Russian Federation should take leading position
Externí odkaz:
https://doaj.org/article/d48f45a23c1e4049afe6d85e5226fa64
Publikováno v:
Кардиоваскулярная терапия и профилактика, Vol 4, Iss 6, ч.I, Pp 51-61 (2005)
Aim. To compare prevalence of metabolic syndrome (MS) by WHO and ATP III criteria, in patients with arterial hypertension (AH) and obesity. Material and methods. MS prevalence in obese AH patients was studied in 517 males and 1041 females aged 20- 75
Externí odkaz:
https://doaj.org/article/73f791e2427a476599bf59724d9c7da7
Autor:
Yu. V. Blokhina, T. N. Erivantseva
Publikováno v:
Фармакоэкономика, Vol 14, Iss 2 (2021)
The article provides an overview of the advantages and issues associated with the use of artificial intelligence (AI) and machine learning (ML) in medicine. Based on the analysis of scientific publications, the leading healthcare areas using AI and M
Publikováno v:
Terapevticheskii arkhiv. 78(4)
To develop a universal method of metabolic syndrome (MS) diagnosis which is valid irrespective of the version in patients with documented arterial hypertension (AH) and obesity.MS was diagnosed according to two versions (WHO and ATPIII) in 517 males