On the importance of continuity of scientific heritage in medicine in general and in nephrology in particular
- Авторлар: Bratchikov O.I1, Zhilyaeva Y.A1, Maksimov V.A2
-
Мекемелер:
- Kursk State Medical University
- Russian Medical Academy of Continuous Professional Education
- Шығарылым: Том 14, № 3 (2022)
- Беттер: 83-85
- Бөлім: Articles
- URL: https://journals.eco-vector.com/2075-3594/article/view/275613
- DOI: https://doi.org/10.18565/nephrology.2022.3.83-85
- ID: 275613
Дәйексөз келтіру
Ашық рұқсат
Рұқсат берілді
Аннотация
Толық мәтін
Авторлар туралы
O. Bratchikov
Kursk State Medical University
Email: bratov45@mail.ru
Ph.D., MD, professor, academician of RAS, honored physician of Russian Federation, Head of the Department of Urology Kursk, Russia
Yu. Zhilyaeva
Kursk State Medical University
Email: uliazhilyaeva85@yandex.ru
associate professor at the Department of Internal Medicine No2 Kursk, Russia
V. Maksimov
Russian Medical Academy of Continuous Professional Education
Email: uta03@yandex.ru
Doctor of Medical Sciences, Professor, Department of Dietetics and Nutritionology, gastroenterologist Moscow, Russia
Әдебиет тізімі
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- Громова О.А., Торшин И.Ю., Волков А.Ю. и др. Препарат Лаеннек: элементный состав и фармакологическое действие. Пластическая хирургия и косметология. 2011;2:327-33
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- Cheng Y., Luo R., Wang K., et al. Kidney disease is associated with in-hospital death of patients with COVID-19. Kidney international. 2020;97(5):829-38. doi: 10.1016/j.kint.2020.03.005.
- Torshin I.Yu., Rudakov K.V. On the Procedures of Generation of Numerical Features Over Partitions of Sets of Objects in the Problem of Predicting Numerical Target Variables. Pattern Recognition and Image Analysis. 2019;29(4):654-67. doi: 10.1134/S1054661819040175. [ISSN 1054-6618].
- Torshin I.Yu., Rudakov K.V. On the Theoretical Basis of Metric Analysis of Poorly Formalized Problems of Recognition and Classification. Pattern Recognition and Image Analysis. 2015;25(4):577-87.
- Torshin I.Yu., Rudakov K.V. Topological Data Analysis in Materials Science: The Case of High-Temperature Cuprate Superconductors. Pattern Recognition and Image Analysis. 2020;30(2):262-74. doi: 10.1134/S1054661820020157.
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