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Updated: Jun 6, 2025

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对于二进制分类的给定特异性的新型灵敏度最大化方法

Seyyed Mahmood Ghasemi1, Chunhui Gu1, Johannes F Fahrmann2

  • 1Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.

Cancer prevention research (Philadelphia, Pa.)
|December 2, 2024
PubMed
概括

一种名为在给定的特异性 (SMAGS) 灵敏度最大化的新方法改善了癌症的早期检测. 通过优化生物标志物组合规则以提高灵敏度和特异性,SMAGS增强了后勤回归.

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