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Review Open access Aug 2026

Building an interpretable machine learning prognosis prediction model-based on baseline examinations of patients with esophageal cancer undergoing surgery

To create an interpretable machine learning model based on non-invasive biomarkers for the early diagnosis and improved prognostic value of esophageal cancer. We gathered a private dataset at Sichuan Cancer Hospital, comprising 3204 esophageal cancer patients who underwent surgery. Baseline markers and preoperative bio...

Rui Zhan, Qi-Feng Wang · 0 citations

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