Contrast between traditional and machine learning algorithms based on a urine culture predictive model: a multicenter retrospective study in patients with urinary calculi

BACKGROUND: Quick and accurate identification of urinary calculi patients with positive urinary cultures is critical to the choice of the treatment strategy. Predictive models based on machine learning algorithms provide a new way to solve this problem. This study aims to determine the predictive va...

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Detalles Bibliográficos
Autores principales: He, Yuhui, Peng, Panxin, Ying, Wenwei, Wang, Qinwei, Wang, Yan, Liu, Xiankui, Song, Wenhui, Gao, Yue, Li, Peizhe, Wang, Jie, Zhu, Weijie, Gao, Wenzhi, Zhou, Xiaofeng, Li, Xuesong, Zhou, Liqun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8899151/
https://www.ncbi.nlm.nih.gov/pubmed/35280663
http://dx.doi.org/10.21037/tau-21-780

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8899151/
https://www.ncbi.nlm.nih.gov/pubmed/35280663
http://dx.doi.org/10.21037/tau-21-780

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