Home /Research /Development of an Interpretable Machine Learning Model for Predicting Clavien-Dindo Grade ≥2 Complications after Unilateral Minimally Invasive Pyeloplasty in UPJO: A Retrospective Cohort Study.
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Development of an Interpretable Machine Learning Model for Predicting Clavien-Dindo Grade ≥2 Complications after Unilateral Minimally Invasive Pyeloplasty in UPJO: A Retrospective Cohort Study.

Pan H, Wang R, Jiang M, He Q, Liu J, Liu X, Lin T, Wei G, He D

Year
2026
Journal
Journal of endourology

Keywords

machine learningpyeloplastycomplication predictionUPJOretrospective study

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