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This article is cited in 1 scientific paper (total in 1 paper)
Decision support systems
Intelligent recommender systems for medicine. Particularities and limitations
B. A. Kobrinskii Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow, Russia
Abstract:
A particularity of intelligent recommender systems for the medical subject area is the need to take into account numerous diverse signs, and the limitation is due to the need to control recommendations issued by a physician. Direct transmission of recommendations to the user is not possible, since it is necessary to ensure the safety of the patient during their implementation. The absence of deviations in health unknown to the individual at the input of the system can threaten with irreversible consequences. This must be taken into account in the architecture of recommender systems for health protection.
Keywords:
intelligent recommender system, health recommender system, health protection system, recommender systems taxonomy, risk factors, expert assessment of disease risk, explanation module.
Citation:
B. A. Kobrinskii, “Intelligent recommender systems for medicine. Particularities and limitations”, Artificial Intelligence and Decision Making, 2022, no. 3, 51–62; Scientific and Technical Information Processing, 50:6 (2023), 563–571
Linking options:
https://www.mathnet.ru/eng/iipr70 https://www.mathnet.ru/eng/iipr/y2022/i3/p51
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Statistics & downloads: |
Abstract page: | 23 | Full-text PDF : | 15 |
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