Promising directions of information technologies applications for improving of control and measuring devices in medical industry

The article deals with the problems of functioning and improvement of measuring and control devices in the medical industry. The classification, principles of organization of specialized, multifunctional and single-functional medical instrument and computer systems are considered. A model for solving the problem of scalability and availability through the use of non-relational data management systems that combine methods for achieving atomicity and data consistency is proposed. The promising diagnostic methods in medicine are described. The importance of a prompt assessment of the patient's condition is emphasized. The optimization and modernization of the digital radiography using modern machine learning algorithms are given and justified. © 2021 Institute of Physics Publishing. All rights reserved.

Authors
Zolkin A.L.1 , Munister V.D.2, 3 , Bogaevskaya O.Y. 4 , Yumashev A.V.5 , Kornetov A.N.6
Conference proceedings
Publisher
Institute of Physics Publishing
Number of issue
3
Language
English
Status
Published
Number
032001
Volume
2094
Year
2021
Organizations
  • 1 Computer and Information Sciences Department, Povolzhskiy State University of Telecommunications and Informatics, L.Tolstogo Street, 23, Samara, 443010, Russian Federation
  • 2 Mariupol State University, Stroiteley Street, 129a, Donetsk region, Mariupol, 87500, Ukraine
  • 3 Department of Enterprise Economics, State educational institution of higher professional education 'Donetsk National Technical Univ.', Shibankova Street, 2, Donetsk region, Pokrovsk, 85300, Ukraine
  • 4 Department of Nursing, Peoples Friendship University of Russia, Miklukho-Maklaya Street, 6, Moscow, 117198, Russian Federation
  • 5 Department of Prosthetic Dentistry, Sechenov First Moscow State Medical University, Trubetskaya Street, 8-2, Moscow, 119991, Russian Federation
  • 6 Fundamental Psychology and Behavioral Medicine Department, Siberian State Medical University, Moskovsky trak, 2, Tomsk, 634050, Russian Federation
Keywords
Information management; Learning algorithms; Machine learning; Control device; Data consistency; Data management system; Diagnostic methods; Information technology application; Measuring and control devices; Measuring device; Medical industries; Medical instruments; Relational data; Diagnosis
Date of creation
06.07.2022
Date of change
06.07.2022
Short link
https://repository.rudn.ru/en/records/article/record/84392/
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