Urine Flow Cytometry Parameter Cannot Safely Predict Contamination of Urine—A Cohort Study of a Swiss Emergency Department Using Machine Learning Techniques

Background: Urine flow cytometry (UFC) analyses urine samples and determines parameter counts. We aimed to predict different types of urine culture growth, including mixed growth indicating urine culture contamination. Methods: A retrospective cohort study (07/2017–09/2020) was performed on pairs of...

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Detalles Bibliográficos
Autores principales: Müller, Martin, Sägesser, Nadine, Keller, Peter M., Arampatzis, Spyridon, Steffens, Benedict, Ehrhard, Simone, Leichtle, Alexander B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025120/
https://www.ncbi.nlm.nih.gov/pubmed/35454055
http://dx.doi.org/10.3390/diagnostics12041008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025120/
https://www.ncbi.nlm.nih.gov/pubmed/35454055
http://dx.doi.org/10.3390/diagnostics12041008

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