Detecting changes in the performance of a clinical machine learning tool over time

BACKGROUND: Excessive use of blood cultures (BCs) in Emergency Departments (EDs) results in low yields and high contamination rates, associated with increased antibiotic use and unnecessary diagnostics. Our team previously developed and validated a machine learning model to predict BC outcomes and e...

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Detalles Bibliográficos
Autores principales: Schinkel, Michiel, Boerman, Anneroos W., Paranjape, Ketan, Wiersinga, W. Joost, Nanayakkara, Prabath W.B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550508/
https://www.ncbi.nlm.nih.gov/pubmed/37793210
http://dx.doi.org/10.1016/j.ebiom.2023.104823

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550508/
https://www.ncbi.nlm.nih.gov/pubmed/37793210
http://dx.doi.org/10.1016/j.ebiom.2023.104823

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