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Predicting the Stone-Free Status of Percutaneous Nephrolithotomy With the Machine Learning System: Comparative Analysis With Guy’s Stone Score and the S.T.O.N.E Score System
Purpose: The aim of the study was to use machine learning methods (MLMs) to predict the stone-free status after percutaneous nephrolithotomy (PCNL). We compared the performance of this system with Guy’s stone score and the S.T.O.N.E score system. Materials and Methods: Data from 222 patients (90 fem...
Autores principales: | Zhao, Hong, Li, Wanling, Li, Junsheng, Li, Li, Wang, Hang, Guo, Jianming |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114350/ https://www.ncbi.nlm.nih.gov/pubmed/35601833 http://dx.doi.org/10.3389/fmolb.2022.880291 |
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