Please use this identifier to cite or link to this item: https://dspace.chmnu.edu.ua/jspui/handle/123456789/1654
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dc.contributor.authorTrunov, A.-
dc.date.accessioned2024-01-30T10:23:56Z-
dc.date.available2024-01-30T10:23:56Z-
dc.date.issued2023-
dc.identifier.issn16130073-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85182283218&partnerID=40&md5=68e33bad70ca16a3139fbdc700104d-
dc.identifier.urihttp://ceur-ws.org/Vol-3609/-
dc.identifier.urihttps://dspace.chmnu.edu.ua/jspui/handle/123456789/1654-
dc.description. Trunov, A. (2023). Formation of Indicators for Evaluating the Model Based on a Set of Interconnected Data Sets in the Tasks of Communication Technologies in Healthcare. In: Shakhovska N., Kovac M., Izonin I., & Chretien S. (eds) CEUR Workshop Proceedings, 3609, 157-166. CEUR-WS. Bratislava.uk_UA
dc.description.abstractOne of the tasks of building and evaluating an analytical model, which requires the implementation of the advantages of the idea of remote recovery and the introduction of communication technologies in health care, is considered. It is proposed to use an analytical model of data on state indicators and the course of procedures as a tool for effective lossless compression of transmitted data. The task of building an analytical model is set as a task of evidentiary model selection. The apparatus of functional analysis was used to substantiate the quantitative type selection tools and to determine the best model based only on sets of experimental patient observation data.uk_UA
dc.language.isoenuk_UA
dc.publisherCEUR-WSuk_UA
dc.subjectanalytical modeluk_UA
dc.subjectapproximationuk_UA
dc.subjectevidence selectionuk_UA
dc.subjectMedical datauk_UA
dc.subjectmonitoringuk_UA
dc.subjectquantitative toolsuk_UA
dc.titleFormation of Indicators for Evaluating the Model Based on a Set of Interconnected Data Sets in the Tasks of Communication Technologies in Healthcareuk_UA
dc.typeArticleuk_UA
Appears in Collections:Публікації науково-педагогічних працівників ЧНУ імені Петра Могили у БД Scopus

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