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Updated: Feb 23, 2026

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乳がんの生存率予測のためのデータベースのモデルの比較分析

Kasahun Takele1,2, Ding-Geng Chen3,4

  • 1Department of Statistics, Haramaya University, Maya, Ethiopia. kastake10@gmail.com.

Scientific reports
|February 21, 2026
PubMed
まとめ

この研究では,エチオピアにおける乳がん生存率を予測する機械学習モデルを比較した. ランダム・サバイバル・フォレスト (RSF) とランダム・フォレスト (RF) は,患者のケアを改善するために,年齢や腫瘍の段階などの重要な予測要因を特定し,最も高い精度を示しました.

キーワード:
乳房 乳房 乳房C-インデックスはC-インデックスです.がん がん がん がん がんディープサーフ (DeepSurv) についてSHAP SHAP SHAP SHAP SHAP SHAP シャップ・シャップ・シャップ シャップ・シャップ・シャップ シャップ・シャップ

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