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A machine learning model for predicting surgical intervention in renal colic due to ureteral stone(s) < 5 mm
A 75–89% expulsion rate is reported for ureteric stones ≤ 5 mm. We explored which parameters predict justified surgical intervention in cases of pain caused by < 5 mm ureteral stones. We retrospectively reviewed all patients with renal colic caused by ureteral stone < 5 mm admitted to our urol...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276693/ https://www.ncbi.nlm.nih.gov/pubmed/35821517 http://dx.doi.org/10.1038/s41598-022-16128-z |