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THE ADULT LEARNING THEORY PRINCIPLES
Tselousova, O.S., Ovsyannikova, L.B. (2023)
the andragogy approach of today’s methodology. There are six main assumptions in adult learning theory. They are
СТРУКТУРНАЯ ОРГАНИЗАЦИЯ ПРАКТИЧЕСКОГО ЗАНЯТИЯ ПО ПАТОФИЗИОЛОГИИ В ДИСТАНЦИОННОМ РЕЖИМЕ
STRUCTURAL ORGANIZATION OF PRACTICAL CLASSES IN PATHOPHYSIOLOGY IN REMOTE MODE
Еникеев, Д.А., Хисамов, Э.Н., Еникеев, О.А., Срубилин, Д.В., Габдрахманова, И.Д., Enikeev, D.A., Hisamov, E.N., Enikeev, O.A., Srubilin, D.V., Gabdrakhmanova, I.D. (2022)
Identification of Pathological Formations in the Lungs Based on Machine Learning Methods
Shakhmametova, G.R., Vakkazov, N.O., Zulkarneev, R.KH. (2020)
is proposed and a model for finding pathological formations based on machine learning methods is developed
DIGITAL TOOLS IN LEARNING STUDENTS OF PEDIATRIC FACULTY
Yakovleva, L.V., Kuchina, E.S., Tikhonova, R.Z. (2023)
DIGITAL TOOLS IN LEARNING STUDENTS OF PEDIATRIC FACULTY
Predicting Threat Degree for Onset of Type 2 Diabetes Mellitus Based on Machine Learning Methods
Shakhmametova, G., Vakkazov, N., Klimets, S. (2023)
This article discusses the use of machine learning methods to predict the degree of threat
Machine Learning Algorithms for the Analysis of Age-Related Macular Degeneration Based on Optical Coherence Tomography: a Systematic Review
Lopukhova, Ekaterina A., Ibragimova, Rada R., Idrisova, Gulnaz M., Lakman, Irina A., Mukhamadeev, Timur R., Grakhova, Elizaveta P., Bilyalov, Azat R., Kutluyarov, Ruslan V. (2023)
is expressed in the application of various machine learning algorithms, metrics for evaluating
Развитие технологий искусственного интеллекта в онкологии и лучевой диагностике
Artificial Intelligence Developments in Medical Visualization and Oncology
И. В. Бузаев, I. V. Buzaev, В. В. Плечев, V. V. Plechev, Р. М. Галимова, R. M. Galimova, А. Р. Киреев, A. R. Kireev, Л. Х. Юлдыбаев, L. K. Yuldybaev, А. Ф. Шайхулова, A. F. Shaykhulova, С. Г. Ахмерова, S. G. Akhmerova (Креативная хирургия и онкология, №3, 2019)
PAEONIFLORIN BENZOATES: SYNTHESIS AND INFLUENCE ON LEARNING AND MEMORY OF AGED RATS IN THE PASSIVE AVOIDANCE TASK
BALTINA, L., SAPOZHNIKOVA, T., MAKARA, N., GABDRAKHMANOVA, S., KONDRATENKO, R. (2019)
, containing C4 = O function, were obtained and their influence on learning and memory of aged rats was studied
Association of the ACTN3 Gene’s Single-Nucleotide Variant Rs1815739 (R577X) with Sports Qualification and Competitive Distance in Caucasian Athletes of the Southern Urals
Balberova, Olga V., Shnayder, Natalia A., Bykov, Evgeny V., Zakaryukin, Yuri E., Petrova, Marina M., Soloveva, Irina A., Narodova, Ekaterina A., Chumakova, Galina A., Al-Zamil, Mustafa, Asadullin, Azat R., Vaiman, Elena E., Trefilova, Vera V., Nasyrova, Regina F. (2023)
gene with qualification and competitive distance in Caucasian athletes of the Southern Urals. Methods
Machine Learning Methods and Models for Recognizing Lung Inhomogeneity from Computed Tomography Scans
Shakhmametova, G. R., Stepanova, E. S., Akhmetshin, A. A., Zulkarneev, R. Kh. (2023)
-platform. For machine learning algorithms, PyTorch 1.9.0 packages were used. An analysis of the effectiveness

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