Prediction of severe erectile dysfunction after penile fracture repair: machine learning analysis results from the reconstruction and trauma working group of the society of urological surgery (RAT-SUS).

Notably, while “time to surgery” did not reach statistical significance in SPSS analysis, it emerged as a critical decision node in the ML model, further illustrating the strength of ML techniques in capturing complex, non-linear interactions that may not be evident through conventional analysis.

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