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Application of system analysis to evaluate the efficiency of medical information system

Kulik Sergey Dmitrievich  (Doctor of Technical Sciences, professor, National Research Nuclear University MEPHI (Moscow Engineering Physics Institute))

Shtanko Alexander Nikolaevich  (Postgraduate Student, National Research Nuclear University MEPHI (Moscow Engineering Physics Institute))

Kondakov Aleksei Alekseevich  (Software engineer, Ozon)

This article deals with the problem of evaluating the effectiveness of a medical information system with a recognition unit based on convolutional neural networks. It provides the necessary information about the proposed structure of the medical information system and specific indicators for evaluating effectiveness. Information is briefly given about the software developed for telemedicine, registered by the Federal Service for Intellectual Property (Rospatent). The obtained practical and theoretical results can be used for the analysis, design and development of medical information systems.

Keywords:system analysis, structure of system, convolutional neural networks, software tools, medical information system.
 

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Citation link:
Kulik S. D., Shtanko A. N., Kondakov A. A. Application of system analysis to evaluate the efficiency of medical information system // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2022. -№04/2. -С. 75-80 DOI 10.37882/2223-2966.2022.04-2.21
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