Derivation and Internal Validation of a Mortality Prognostication Machine Learning Model in Ebola Vi...
Derivation and Internal Validation of a Mortality Prognostication Machine Learning Model in Ebola Virus Disease Based on Iterative Point-of-Care Biomarkers
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Publisher
US: Oxford University Press
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Language
English
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Publisher
US: Oxford University Press
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Contents
Abstract
Background
Although multiple prognostic models exist for Ebola virus disease mortality, few incorporate biomarkers, and none has used longitudinal point-of-care serum testing throughout Ebola treatment center care.
Methods
This retrospective study evaluated adult patients with Ebola virus disease during the 10th outbreak in the...
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Full title
Derivation and Internal Validation of a Mortality Prognostication Machine Learning Model in Ebola Virus Disease Based on Iterative Point-of-Care Biomarkers
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10878059
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10878059
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ISSN
2328-8957
E-ISSN
2328-8957
DOI
10.1093/ofid/ofad689
