Development and Validation of an Interpretable Machine Learning Model Based on Peripheral Blood Biomarkers for Esophageal Cancer Risk Prediction
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Background: Noninvasive, low-cost prescreening tools are needed to improve risk stratification for esophageal cancer (EC) before endoscopic confirmation. We developed and validated explainable machine-learning (ML) models using r... ...
