While the AUC-ROC and AUC-PR values for Model A—including pelvimetric measurements—were higher than those for Model B, the difference did not reach statistical significance ( p > 0.05). 4.
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Multi-Modal Machine Learning for Evaluating the Predictive Value of Pelvimetric Measurements (Pelvimetry) for Anastomotic Leakage After Restorative Low Anterior Resection.
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