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...
| Principais autores: | , , , , , , , , , , |
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| Formato: | Journal article |
| Idioma: | English |
| Publicado em: |
Elsevier
2024
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