Prediction of urine culture results by automated urinalysis with digital flow morphology analysis
Abstract 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...
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Auteurs principaux: | Dokyun Kim, Seoung Chul Oh, Changseung Liu, Yoonjung Kim, Yongjung Park, Seok Hoon Jeong |
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Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
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Accès en ligne: | https://doaj.org/article/6a7407ebb6c548c7ad83fd2d50d072e4 |
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