Prediction of urine culture results by automated urinalysis with digital flow morphology analysis

To investigate the association between the results of urinalysis and those of concurrent urine cultures, and to construct a prediction model for the results of urine culture. A total of 42,713 patients were included in this study. Patients were divided into two independent groups including training...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Dokyun, Oh, Seoung Chul, Liu, Changseung, Kim, Yoonjung, Park, Yongjung, Jeong, Seok Hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7966378/
https://www.ncbi.nlm.nih.gov/pubmed/33727643
http://dx.doi.org/10.1038/s41598-021-85404-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7966378/
https://www.ncbi.nlm.nih.gov/pubmed/33727643
http://dx.doi.org/10.1038/s41598-021-85404-1

Ejemplares similares