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MP63-06 PREDICTING THE POSTOPERATIVE OUTCOME OF PERCUTANEOUS NEPHROLITHOTOMY WITH MACHINE LEARNING SYSTEM: SOFTWARE VALIDATION AND COMPARATIVE ANALYSIS WITH GUY’S STONE SCORE AND THE CROES NOMOGRAM

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INTRODUCTION AND OBJECTIVE:To validate the output of a machine learning-based software as an intelligible interface for predicting multiple outcomes after percutaneous nephrolithotomy (PCNL). We co... Click to show full abstract

INTRODUCTION AND OBJECTIVE:To validate the output of a machine learning-based software as an intelligible interface for predicting multiple outcomes after percutaneous nephrolithotomy (PCNL). We co...

Keywords: predicting postoperative; percutaneous nephrolithotomy; mp63 predicting; software; machine learning

Journal Title: Journal of Urology
Year Published: 2020

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