Chernavin P. F. (Ph.D. (Econ), Associate Professor, Ural Federal University, (Yekaterinburg))
Chernavin N. P. (department assistant, Ural Federal University, (Yekaterinburg))
Chugaev Yu. P. (Doctor of Sciences (Medicine), Professor,
The Ural State Medical University (Yekaterinburg)
)
Cherniaev I. A. (Senior Lecturer, Department of Public Health
The Ural State Medical University (Yekaterinburg)
)
Kalinina L. V. (Deputy director, Tuberculosis sanatorium "Golubaya Buhta" of the Ministry of Health of the Russian Federation. (Helendzhik))
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Sanatorium-resort treatment is an important stage in the organization of medical rehabilitation of patients with tuberculosis. Help in solving this issue can be provided by the use of machine learning (ML) methods for prescribing treatment procedures. The article presents the author's approach to solving this issue using real data from a sanatorium for the rehabilitation of patients who have suffered tuberculosis. Calculations were carried out on the basis of 18 qualitative and 25 quantitative characteristics taken into account upon admission to the sanatorium. The purpose of the study was to identify the most suitable machine learning methods for prescribing 37 rehabilitation procedures.
Keywords:Machine learning, precedent-based learning, mathematical programming, classification tasks, committee method, sanatorium treatment, tuberculosis.
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Citation link:
Chernavin P. F., Chernavin N. P., Chugaev Y. P., Cherniaev I. A., Kalinina L. V. EXPERIENCE IN APPLYING MACHINE LEARNING METHODS FOR REHABILITATION OF TUBERCULOSIS PATIENTS // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2024. -№07. -С. 163-166 DOI 10.37882/2223-2966.2024.7.41 |
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