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Updated: Jan 17, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
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基于Web的阴道和阴道黑色素瘤的预测工具:一个机器学习研究

Sakhr Alshwayyat1,2,3, Zena Haddadin4, Sara Haddadin5

  • 1King Hussein Cancer Center, Amman, Jordan.

Future science OA
|September 17, 2025
PubMed
概括

阴道恶性黑色素瘤 (VaM) 和阴道恶性黑色素瘤 (VuM) 是一种罕见且具有攻击性的癌症. 机器学习模型预测了存活率,显示阴道黑色素瘤的存活率明显低于阴道黑色素瘤.

关键词:
机器学习 机器学习黑色素瘤是一种黑色素瘤.预后 预后 预后生存分析,生存分析.阴道瘤的发生.阴道瘤的发生.

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