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Survival Modelling Using Machine Learning and Immune-Nutritional Profiles in Advanced Gastric Cancer on Home Parenteral Nutrition.

1/5 보강

Nutrients 📖 저널 OA 100% 2022~2026 2025 Vol.17(15)

PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문

P · Population 대상 환자/모집단

410 patients with TNM stage IV gastric adenocarcinoma who initiated HPN between 2015 and 2023.

I · Intervention 중재 / 시술

추출되지 않음

C · Comparison 대조 / 비교

추출되지 않음

O · Outcome 결과 / 결론

The application of machine learning to immune-nutritional data offers a robust tool for predicting survival in patients with advanced gastric cancer requiring HPN. This approach may enhance risk stratification, support individualised clinical decision-making regarding nutritional interventions, and inform treatment intensity adjustment.

Matysiak K, Hojdis A, Szewczuk M

📖 무료 전문 🟢 PMC 전문 PMC12348630

PubMed ↗ DOI ↗ BibTeX ↓ RIS ↓

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