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dc.contributor.authorAntonyuk, Nataliya-
dc.contributor.authorChyrun, Lyubomyr-
dc.contributor.authorAndrunyk, Vasyl-
dc.contributor.authorVasevych, Andrii-
dc.contributor.authorChyrun, Sofia-
dc.contributor.authorGozhyj, Aleksandr-
dc.contributor.authorKalinina, Irina-
dc.contributor.authorБорзов, Юрій Олексійович-
dc.date.accessioned2019-11-14T11:51:32Z-
dc.date.available2019-11-14T11:51:32Z-
dc.date.issued2019-11-
dc.identifier.issn1613-0073-
dc.identifier.urihttp://hdl.handle.net/123456789/5971-
dc.language.isoenuk
dc.publisherCEUR Workshop Proceedings, Proceedings of the 2nd International Workshop on Informatics & Data-Driven Medicine (IDDM 2019) Lviv, Ukraine,uk
dc.relation.ispartofseries2488;-
dc.subjectMedical News, News Aggregation, Content Ranking, User Needs, Intelligent System, Content Analisis, Data Mining, Context Filtering, Bayesian Clustering, Bayesian Networksuk
dc.titleMedical News Aggregation and Ranking of Taking into Account the User Needsuk
dc.typeArticleuk
Appears in Collections:2019

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