A fully interpretable machine learning model for increasing the effectiveness of urine screening

OBJECTIVES: This article addresses the need for effective screening methods to identify negative urine samples before urine culture, reducing the workload, cost, and release time of results in the microbiology laboratory. We try to overcome the limitations of current solutions, which are either too...

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Detalles Bibliográficos
Autores principales: Del Ben, Fabio, Da Col, Giacomo, Cobârzan, Doriana, Turetta, Matteo, Rubin, Daniela, Buttazzi, Patrizio, Antico, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691191/
https://www.ncbi.nlm.nih.gov/pubmed/37658807
http://dx.doi.org/10.1093/ajcp/aqad099

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691191/
https://www.ncbi.nlm.nih.gov/pubmed/37658807
http://dx.doi.org/10.1093/ajcp/aqad099

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