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A retrospective study using machine learning to develop predictive model to identify urinary infection stones in vivo
Preoperative diagnosis of urinary infection stones is difficult, and accurate detection of stone composition can only be performed ex vivo. To provide guidance for better perioperative management and postoperative prevention of infection stones, we developed a machine learning model for preoperative...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232574/ https://www.ncbi.nlm.nih.gov/pubmed/37256418 http://dx.doi.org/10.1007/s00240-023-01457-z |