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良性および悪性乳がんを鑑別するための解釈可能な機械学習モデルの開発と検証
Zhichun Wang1, Weixiang Liu2, Lin Hua3
1Department of Breast Surgery, Jiujiang City Key Laboratory of Cell Therapy/Human Genetic Resources Innovation Center, The First People's Hospital of Jiujiang City, Jiujiang, China.
International journal of medical informatics
|January 27, 2026
まとめ
ルーチンの臨床および検査データを活用した新しいロジスティックモデルは、悪性および良性の乳腺病変を効果的に区別します。このツールは早期のリスク層別化を支援し、乳がん検出のための不要な生検を減らす可能性があります。
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