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Formation of Digital Patient-Oriented Recommendations Based on Multilevel Granulation

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Abstract

The development of digital technologies in the field of healthcare, disease prevention and patient awareness of existing diseases has led to the emergence of new patient support systems, called health recommendation systems. Based on the analysis of such systems, the article introduces the definition of patient-oriented systems, proposes models of patient health and digital patient-oriented recommendations, as well as a scenario for their creation using multilevel information granulation in the spatial-temporal aspect.

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ACKNOWLEDGMENTS

The authors express their gratitude to Doctor of Medical Sciences Boris Arkad’evich Kobrinskii, Professor of the Pirogov Russian National Research Medical University of the Russian Ministry of Health for valuable consultations on the topic of this study.

Funding

This research was performed in the framework of the state task in the field of scientific activity of the Ministry of Science and Higher Education of the Russian Federation, project “Models, methods, and algorithms of artificial intelligence in the problems of economics for the analysis and style transfer of multidimensional datasets, time series forecasting, and recommendation systems design,” grant no. FSSW-2023-0004.

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Authors and Affiliations

  1. Plekhanov Russian University of Economics, 117997, Moscow, Russian Federation

    T. V. Afanasieva

  2. Ulyanovsk State Technical University, 432027, Ulyanovsk, Russian Federation

    P. V. Platov

Authors
  1. T. V. Afanasieva
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  2. P. V. Platov
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Correspondence to T. V. Afanasieva or P. V. Platov.

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The authors declare that they have no conflicts of interest.

Additional information

Tat’yana Vasil’evna Afanasieva., Doctor of Technical Sciences, Associate Professor, defended her Candidate’s dissertation at the Leningrad Electrotechnical Institute and Doctoral dissertation at the Ulyanovsk State Technical University. Currently–Professor of the Department of Informatics of the Plekhanov Russian University of Economics, Moscow. Research interests: recommender systems in medicine, information granulation, fuzzy models and forecasting. She is the author of 55 articles in the scientific area of intelligence analysis and data mining.

Pavel Vladimirovich Platov, post-graduate student of the Department of Information Systems, Ulyanovsk State Technical University. He is the author of 13 scientific publication on the topic of applied analysis and machine learning.

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Afanasieva, T.V., Platov, P.V. Formation of Digital Patient-Oriented Recommendations Based on Multilevel Granulation. Pattern Recognit. Image Anal. 33, 221–227 (2023). https://doi.org/10.1134/S105466182303001X

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