Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313440134> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W4313440134 endingPage "25" @default.
- W4313440134 startingPage "14" @default.
- W4313440134 abstract "Aim: to build a predictive model for severe COVID-19 prediction in young adults using deep learning methods. Materials and methods: data from 906 medical records of patients aged 18 to 44 years with laboratory-confirmed SARS-CoV-2 infection during 2020–2021 period was analyzed. Evaluation of laboratory and instrumental data was carried out using the Mann-Whitney U-test. The level of statistical significance was p≤0,05. The neural network was trained using the Pytorch framework. Results: in patients with mild to moderate SARS-CoV-2 infection, peripheral oxygen saturation, erythrocytes, hemoglobin, total protein, albumin, hematocrit, serum iron, transferrin, and absolute peripheral blood eosinophil and lymphocyte counts were significantly higher than in patients with severe СOVID-19 (p< 0,001). The values of the absolute number of neutrophils, ESR, glucose, ALT, AST, CPK, urea, LDH, ferritin, CRP, fibrinogen, D-dimer, respiration rate, heart rate, blood pressure in the group of patients with mild and moderate severity were statistically significantly lower than in the group of severe patients (p < 0.001). Eleven indicators were identified as predictors of severe COVID-19 (peripheral oxygen level, peripheral blood erythrocyte count, hemoglobin level, absolute eosinophil count, absolute lymphocyte count, absolute neutrophil count, LDH, ferritin, C-reactive protein, D-dimer levels) and their threshold values. A model intended to predict COVID-19 severity in young adults was built. Conclusion. The values of laboratory and instrumental indicators obtained in patients with SARS-CoV-2 infection upon admission significantly differ. Among them eleven indicators were significantly associated with the development of a severe COVID-19. A predictive model based on artificial intelligence method with high accuracy predicts the likelihood of severe SARS-CoV-2 course development in young adults." @default.
- W4313440134 created "2023-01-06" @default.
- W4313440134 creator A5007965252 @default.
- W4313440134 creator A5017423954 @default.
- W4313440134 creator A5066719021 @default.
- W4313440134 creator A5074065220 @default.
- W4313440134 creator A5081022594 @default.
- W4313440134 date "2022-12-29" @default.
- W4313440134 modified "2023-10-05" @default.
- W4313440134 title "SARS-CoV-2 severity prediction in young adults using artificial intelligence" @default.
- W4313440134 cites W2593880123 @default.
- W4313440134 cites W2607455846 @default.
- W4313440134 cites W2889242407 @default.
- W4313440134 cites W2953237661 @default.
- W4313440134 cites W3020514163 @default.
- W4313440134 cites W3033804615 @default.
- W4313440134 cites W3043904603 @default.
- W4313440134 cites W3048479592 @default.
- W4313440134 cites W3087700715 @default.
- W4313440134 cites W3092436046 @default.
- W4313440134 cites W3093955131 @default.
- W4313440134 cites W3094265554 @default.
- W4313440134 cites W3112518067 @default.
- W4313440134 cites W3165312480 @default.
- W4313440134 cites W4200489556 @default.
- W4313440134 cites W4243072198 @default.
- W4313440134 cites W4285666171 @default.
- W4313440134 doi "https://doi.org/10.22625/2072-6732-2022-14-5-14-25" @default.
- W4313440134 hasPublicationYear "2022" @default.
- W4313440134 type Work @default.
- W4313440134 citedByCount "1" @default.
- W4313440134 crossrefType "journal-article" @default.
- W4313440134 hasAuthorship W4313440134A5007965252 @default.
- W4313440134 hasAuthorship W4313440134A5017423954 @default.
- W4313440134 hasAuthorship W4313440134A5066719021 @default.
- W4313440134 hasAuthorship W4313440134A5074065220 @default.
- W4313440134 hasAuthorship W4313440134A5081022594 @default.
- W4313440134 hasBestOaLocation W43134401341 @default.
- W4313440134 hasConcept C126322002 @default.
- W4313440134 hasConcept C203014093 @default.
- W4313440134 hasConcept C2776042228 @default.
- W4313440134 hasConcept C2777037409 @default.
- W4313440134 hasConcept C2777063308 @default.
- W4313440134 hasConcept C2777761686 @default.
- W4313440134 hasConcept C2777953023 @default.
- W4313440134 hasConcept C2778319317 @default.
- W4313440134 hasConcept C2778917026 @default.
- W4313440134 hasConcept C2779036427 @default.
- W4313440134 hasConcept C2780959883 @default.
- W4313440134 hasConcept C29730261 @default.
- W4313440134 hasConcept C71924100 @default.
- W4313440134 hasConcept C74133956 @default.
- W4313440134 hasConcept C84393581 @default.
- W4313440134 hasConcept C90924648 @default.
- W4313440134 hasConceptScore W4313440134C126322002 @default.
- W4313440134 hasConceptScore W4313440134C203014093 @default.
- W4313440134 hasConceptScore W4313440134C2776042228 @default.
- W4313440134 hasConceptScore W4313440134C2777037409 @default.
- W4313440134 hasConceptScore W4313440134C2777063308 @default.
- W4313440134 hasConceptScore W4313440134C2777761686 @default.
- W4313440134 hasConceptScore W4313440134C2777953023 @default.
- W4313440134 hasConceptScore W4313440134C2778319317 @default.
- W4313440134 hasConceptScore W4313440134C2778917026 @default.
- W4313440134 hasConceptScore W4313440134C2779036427 @default.
- W4313440134 hasConceptScore W4313440134C2780959883 @default.
- W4313440134 hasConceptScore W4313440134C29730261 @default.
- W4313440134 hasConceptScore W4313440134C71924100 @default.
- W4313440134 hasConceptScore W4313440134C74133956 @default.
- W4313440134 hasConceptScore W4313440134C84393581 @default.
- W4313440134 hasConceptScore W4313440134C90924648 @default.
- W4313440134 hasIssue "5" @default.
- W4313440134 hasLocation W43134401341 @default.
- W4313440134 hasOpenAccess W4313440134 @default.
- W4313440134 hasPrimaryLocation W43134401341 @default.
- W4313440134 hasRelatedWork W173913779 @default.
- W4313440134 hasRelatedWork W2015736869 @default.
- W4313440134 hasRelatedWork W2030501286 @default.
- W4313440134 hasRelatedWork W2061311516 @default.
- W4313440134 hasRelatedWork W2299518172 @default.
- W4313440134 hasRelatedWork W2464385708 @default.
- W4313440134 hasRelatedWork W2575644119 @default.
- W4313440134 hasRelatedWork W4230816948 @default.
- W4313440134 hasRelatedWork W58950899 @default.
- W4313440134 hasRelatedWork W1490723846 @default.
- W4313440134 hasVolume "14" @default.
- W4313440134 isParatext "false" @default.
- W4313440134 isRetracted "false" @default.
- W4313440134 workType "article" @default.