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Intelligent Recommender Systems for Medicine. Particularities and Limitations

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Abstract

A particularity of intelligent recommender systems in the domain of medicine is the need to take into account a diversity of numerous features, and the limitation is conditioned by the need to control recommendations made by a physician. Recommendations are not directly transferred to the user because it is necessary to ensure the safety of the patient in their fulfillment. The absence of health deviations unknown to the individual at the input of the system can cause irreversible consequences. This must be taken into account in the architecture of recommender systems for health protection.

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Funding

This work was supported as part of project 9, Artificial Intelligence and Big Data in Engineering, Industrial, Natural and Social Systems, of the National Center for Physics and Mathematics and partially funded by the Russian Foundation for Basic Research as part of scientific project 20-07-00672.

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  1. Federal Research Center Computer Science and Control, Russian Academy of Sciences, 119333, Moscow, Russia

    B. A. Kobrinskii

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Translated by S. Kuznetsov

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Kobrinskii, B.A. Intelligent Recommender Systems for Medicine. Particularities and Limitations. Sci. Tech. Inf. Proc. 50, 563–571 (2023). https://doi.org/10.3103/S0147688223060072

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