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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.
Lycholip, Valentinas; Puronaite, Roma; Skorniakov, Viktor; Navickas, Petras; Tarutyte, Gabriele; Trinkunas, Justas; Burneikaite, Greta; Kazenaite, Edita; Jankauskiene, Augustina.
  • Lycholip V; Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania.
  • Puronaite R; Institute of Applied Mathematics, Faculty of Mathematics and Informatics, Vilnius University, Vilnius, Lithuania.
  • Skorniakov V; Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania.
  • Navickas P; Institute of Data Science and Digital Technologies, Faculty of Mathematics and Informatics, Vilnius University, Vilnius, Lithuania.
  • Tarutyte G; Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
  • Trinkunas J; Institute of Applied Mathematics, Faculty of Mathematics and Informatics, Vilnius University, Vilnius, Lithuania.
  • Burneikaite G; Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania.
  • Kazenaite E; Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
  • Jankauskiene A; State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania.
Technol Health Care ; 31(6): 2513-2524, 2023.
Article en En | MEDLINE | ID: mdl-37840515
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Puntuación de Alerta Temprana / COVID-19 Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Puntuación de Alerta Temprana / COVID-19 Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article