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Yongde Liao

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Open access Aug 2026

P1.195. A Machine Learning Model for Predicting Anastomotic Leak in Esophageal Cancer Patients Undergoing Esophagectomy: A Single-Center Retrospective Study

The developed ML models for predicting AL after esophagectomy demonstrated acceptable discriminative ability and identified key risk factors including radiotherapy, hemoglobin drop, bleeding, and lymphocyte count and provide a data-driven foundation for risk stratification.

Chi Zhang, Yongde Liao · 0 citations

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