Cargando…
Training and testing of a gradient boosted machine learning model to predict adverse outcome in patients presenting to emergency departments with suspected covid-19 infection in a middle-income setting
COVID-19 infection rates remain high in South Africa. Clinical prediction models may be helpful for rapid triage, and supporting clinical decision making, for patients with suspected COVID-19 infection. The Western Cape, South Africa, has integrated electronic health care data facilitating large-sca...
Autores principales: | Fuller, Gordon Ward, Hasan, Madina, Hodkinson, Peter, McAlpine, David, Goodacre, Steve, Bath, Peter A., Sbaffi, Laura, Omer, Yasein, Wallis, Lee, Marincowitz, Carl |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511129/ https://www.ncbi.nlm.nih.gov/pubmed/37729117 http://dx.doi.org/10.1371/journal.pdig.0000309 |
Ejemplares similares
-
LMIC-PRIEST: Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19 in a middle-income setting
por: Marincowitz, Carl, et al.
Publicado: (2022) -
LMIC-PRIEST: Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19 in a middle-income setting
por: Marincowitz, Carl, et al.
Publicado: (2023) -
External validation of triage tools for adults with suspected COVID-19 in a middle-income setting: an observational cohort study
por: Marincowitz, Carl, et al.
Publicado: (2023) -
Accuracy of telephone triage for predicting adverse outcomes in suspected COVID-19: an observational cohort study
por: Marincowitz, Carl, et al.
Publicado: (2022) -
Prognostic accuracy of triage tools for adults with suspected COVID-19 in a prehospital setting: an observational cohort study
por: Marincowitz, Carl, et al.
Publicado: (2022)