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Interpretable machine learning model for predicting refeeding syndrome after colorectal cancer surgery.

2/5 보강

Clinical nutrition ESPEN 📖 저널 OA 0% 2024~2026 2026 Vol.72() p. 102946 Inflammatory Biomarkers in Disease P

TL;DR The XGBoost model combined with SHAP interpretation enables accurate and interpretable prediction of postoperative RFS risk and may support individualized nutritional management strategies in patients following colorectal cancer surgery.

OpenAlex 토픽 · Inflammatory Biomarkers in Disease Prognosis Colorectal Cancer Screening and Detection Gastric Cancer Management and Outcomes

Jin X, Cui C, Xu F, Lin Z, Wang J

PubMed ↗ DOI ↗ BibTeX ↓ RIS ↓

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