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Updated: Jan 30, 2026

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肺癌術後遠隔転移予測における機械学習モデルの比較研究

Xi Guo1, Tingting Xu2, Yu Luo1

  • 1Department of Oncology, The Third People's Hospital of Kunming, Kunming, 650041, China.

Scientific reports
|January 28, 2026
PubMed
まとめ

機械学習モデルは、術後の肺癌転移を予測できる。勾配ブースティング決定木（GBDT）が最も高い性能を示し、個別化治療のための化学療法やNステージなどの重要予測因子を特定した。

キーワード:
臨床意思決定支援遠隔転移GBDT肺癌機械学習リスク予測SHAP

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