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Interpretable machine learning-based prediction of liver metastasis risk in elderly patients with small cell lung Cancer: A study based on the SEER database and external validation in a Chinese cohort.

2/5 보강
International journal of medical informatics 📖 저널 OA 17.9% 2023: 1/1 OA 2024: 0/2 OA 2025: 0/3 OA 2026: 4/21 OA 2023~2026 2026 Vol.209() p. 106274 Lung Cancer Research Studies
TL;DR The XGBoost-based model exhibited moderate predictive value and satisfactory interpretability in assessing the risk of liver metastasis in patients with SCLC, suggesting its potential utility as an adjunctive decision-support tool following initial diagnostic staging.
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PubMed DOI OpenAlex Semantic 마지막 보강 2026-05-01
OpenAlex 토픽 · Lung Cancer Research Studies Radiomics and Machine Learning in Medical Imaging Chromatin Remodeling and Cancer

Chen H, Dai W, Yang J, Dang X, Jiang L


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