Use of temporally validated machine learning models to predict outcomes of percutaneous nephrolithotomy using data from the British Association of Urological Surgeons percutaneous nephrolithotomy audit

<p><strong>Background and objective:</strong> Machine learning (ML) is a subset of artificial intelligence that uses data to build algorithms to predict specific outcomes. Few ML studies have examined percutaneous nephrolithotomy (PCNL) outcomes. Our objective was to build...

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Main Authors:	Geraghty, RM, Thakur, A, Howles, S, Finch, W, Fowler, S, Rogers, A, Sriprasad, S, Smith, D, Dickinson, A, Gall, Z, Somani, BK
פורמט:	Journal article
שפה:	English
יצא לאור:	Elsevier 2024

Use of temporally validated machine learning models to predict outcomes of percutaneous nephrolithotomy using data from the British Association of Urological Surgeons percutaneous nephrolithotomy audit

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