医学智能推荐系统。特殊性和局限性

IF 0.4 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE

Scientific and Technical Information Processing Pub Date : 2024-03-07 DOI:10.3103/s0147688223060072

B. A. Kobrinskii

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引用次数: 0

摘要

摘要医学领域智能推荐系统的一个特点是需要考虑到众多特征的多样性，而这一限制的条件是需要控制医生提出的建议。建议不会直接转给用户，因为有必要确保病人在执行建议时的安全。如果在系统输入时没有出现个人未知的健康偏差，就会造成不可逆转的后果。在健康保护推荐系统的架构中必须考虑到这一点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Intelligent Recommender Systems for Medicine. Particularities and Limitations

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Intelligent Recommender Systems for Medicine. Particularities and Limitations

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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来源期刊

Scientific and Technical Information Processing INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

1.00

自引率

42.90%

发文量

期刊介绍： Scientific and Technical Information Processing is a refereed journal that covers all aspects of management and use of information technology in libraries and archives, information centres, and the information industry in general. Emphasis is on practical applications of new technologies and techniques for information analysis and processing.