Vinnitsa Pirogov National Medical Univ.
Fragmenty książek z 2024 (1)
1. Neural network method for assessing the effectiveness of the formation of pathological and keloid scars / Kateryna Lokes, David Avetikov, Sergii V. Pavlov, Mariia Faustova, Olena Ivanytska, Yuliia Saldan, Yuliia Pylypets, Zbigniew Omiotek, Saule Smailova. [W]: Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024.- 2024, s. 1-8 [MNiSW: 20]
Fragmenty książek z 2019 (3)
1. Information model for forecasting of violation reparative osteogenesis of long bonds / Yurii O. Bezsmertnyi, Sergii V. Pavlov, Stanislav Yu. Iaremyn, Halyna V. Bezsmertna, Natalia L. Chernyaschuk, Ivan A. Krivoruchko, Andrzej Kociubiński, Yedilkhan Amirgaliyev. [W]: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019.- 2019, s. 678-685 [MNiSW: 20]
2. Information model of individual rehabilitation program efficacy in disabled persons with cardiovascular diseases / Yurii O. Bezsmertnyi, Viktor I. Shevchuk, Iryna V. Kurylenko, Halyna V. Bezsmertna, Sergii M. Zlepko, Tetiana I. Kozlovska, Olena Yu. Teplova, Zbigniew Omiotek, Aigul Syzdykpayeva. [W]: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019.- 2019, s. 704-711 [MNiSW: 20]
3. Prognosis of efficacy of medical and social rehabilitation in disabled individuals with respiratory diseases / Yurii O. Bezsmertnyi, Viktor I. Shevchuk, Sergii V. Pavlov, Sergii M. Zlepko, Iryna V. Kurylenko, Halyna Bezsmertna, Marcin Maciejewski, Alina Bugubayeva. [W]: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019.- 2019, s. 912-917 [MNiSW: 20]
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