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Upravlenie Bol'shimi Sistemami, 2019, Issue 82, Pages 61–73
DOI: https://doi.org/10.25728/ubs.2019.82.4
(Mi ubs1024)
 

Control in Medicine, Biology, and Ecology

Recommender systems in the healthcare

V. V. Tsyrko

V.A. Trapeznikov Institute of Control Sciences of RAS, Moscow
References:
Abstract: Recommender systems are wide spread in Internet services: contextual advertising, movies and music interesting for an user, selection of goods and services in online stores. Algorithms take into account users' profiles, history of requests and sales and the data about similar users. These algorithms develop very fast and show its effectiveness, its implementation increase the service attendance and sales. Healthcare is the new area of recommender systems application. It is collected a huge amount of medical data such as medical records, mortality and morbidity databases, treatment protocols, and even health data continuously monitored by special sensors. Ones develop intelligent systems for primary care, choosing the treatment, daily human health tracking. The article provides the general introduction to the recommender systems, the literature review of recommender systems usage in the healthcare, and also addresses the problem of building recommender systems for optimizing hospital procurement.
Keywords: recommender systems, healthcare, hospitals purchase optimization.
Received: February 18, 2019
Published: November 30, 2019
Document Type: Article
UDC: 519.2
BBC: 22.172
Language: Russian
Citation: V. V. Tsyrko, “Recommender systems in the healthcare”, UBS, 82 (2019), 61–73
Citation in format AMSBIB
\Bibitem{Tsy19}
\by V.~V.~Tsyrko
\paper Recommender systems in the healthcare
\jour UBS
\yr 2019
\vol 82
\pages 61--73
\mathnet{http://mi.mathnet.ru/ubs1024}
\crossref{https://doi.org/10.25728/ubs.2019.82.4}
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    Upravlenie Bol'shimi Sistemami
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