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Assessment of the disease severity in patients hospitalized for COVID–19 based on the National Early Warning Score (NEWS) using statistical and machine learning methods: an electronic health records database analysis /

dc.contributor.authorLycholip, Valentinas,
dc.contributor.authorPuronaitė, Roma,
dc.contributor.authorSkorniakov, Viktor,
dc.contributor.authorNavickas, Petras,
dc.contributor.authorTarutytė, Gabrielė,
dc.contributor.authorTrinkūnas, Justas,
dc.contributor.authorBurneikaitė, Greta,
dc.contributor.authorKazėnaitė, Edita,
dc.contributor.authorJankauskienė, Augustina,
dc.date.accessioned2023-12-22T07:06:36Z
dc.date.available2023-12-22T07:06:36Z
dc.date.issued2023.
dc.identifier.urihttps://etalpykla.vilniustech.lt/xmlui/handle/123456789/153741
dc.formatPDF
dc.format.extentp. 53-54.
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.source.urihttps://pb.edu.pl/oficyna-wydawnicza/wp-content/uploads/sites/4/2023/10/Book-of-abstracts-14th-international-conference-Biomdlore-2023.pdf
dc.titleAssessment of the disease severity in patients hospitalized for COVID–19 based on the National Early Warning Score (NEWS) using statistical and machine learning methods: an electronic health records database analysis /
dc.typeKonferencijos pranešimo santrauka / Conference presentation abstract
dcterms.references0
dc.type.pubtypeT2 - Konferencijos pranešimo tezės / Conference presentation abstract
dc.contributor.institutionVilniaus universiteto ligoninė Santaros klinikos Vilniaus universitetas
dc.contributor.institutionVilniaus universiteto ligoninė Santaros klinikos Vilniaus universitetas Vilniaus universitetas
dc.contributor.institutionVilniaus universitetas
dc.contributor.institutionVilniaus universiteto ligoninė Santaros klinikos Vilniaus universitetas Valstybinis mokslinių tyrimų institutas Inovatyvios medicinos centras
dc.contributor.institutionVilniaus universiteto ligoninės Santaros klinikos Vilniaus universitetas
dc.contributor.institutionVilniaus universiteto ligoninė Santaros klinikos Vilniaus Gedimino technikos universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldN 009 - Informatika / Computer science
dc.subject.researchfieldM 001 - Medicina / Medicine
dc.subject.vgtuprioritizedfieldsMC0404 - Bionika ir biomedicinos inžinerinės sistemos / Bionics and Biomedical Engineering Systems
dc.subject.ltspecializationsL105 - Sveikatos technologijos ir biotechnologijos / Health technologies and biotechnologies
dcterms.sourcetitleBIOMDLORE:14th international conference, 22-24 October 2023, Bialystok, Poland : book of abstracts.
dc.publisher.nameBialystok University of Technology
dc.publisher.cityBialystok
dc.identifier.doi10.24427/978–83–67185–80–6
dc.identifier.elaba180560429


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