Can predicting COVID-19 mortality in a European cohort using only demographic and comorbidity data surpass age-based prediction: An externally validated study.
peer reviewed ; OBJECTIVE: To establish whether one can build a mortality prediction model for COVID-19 patients based solely on demographics and comorbidity data that outperforms age alone. Such a model could be a precursor to implementing smart lockdowns and vaccine distribution strategies. METHODS: The training cohort comprised 2337 COVID-19 inpatients from nine hospitals in The Netherlands. The clinical outcome was death within 21 days of being discharged. The features were derived from electronic health records collected during admission. Three feature selection methods were used: LASSO,... Mehr ...
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Dokumenttyp: | journal article |
Erscheinungsdatum: | 2021 |
Verlag/Hrsg.: |
Public Library of Science
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Schlagwörter: | Age Factors / Aged / 80 and over / Belgium/epidemiology / COVID-19/diagnosis/epidemiology/mortality / Cohort Studies / Communicable Disease Control / Comorbidity / Electronic Health Records / Female / Hospitalization / Humans / Male / Middle Aged / Netherlands/epidemiology / Prognosis / Risk Assessment / Risk Factors / SARS-CoV-2/isolation & purification / Human health sciences / Radiology / nuclear medicine & imaging / Sciences de la santé humaine / Radiologie / médecine & imagerie nucléaire |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26585080 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://orbi.uliege.be/handle/2268/260748 |