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...

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Detalles Bibliográficos
Autores principales: Zhao, Hong, Li, Wanling, Li, Junsheng, Li, Li, Wang, Hang, Guo, Jianming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Molecular Biosciences
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

Internet

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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