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Updated: Jul 21, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
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萨布卡达:通过维度提升和年龄分层对乳腺癌患者的生存间隔预测

Shih-Huan Lin1, Ching-Hsuan Chien1, Kai-Po Chang2

  • 1Ph.D. Program in Medical Biotechnology, National Chung Hsing University, Taichung 40227, Taiwan.

Cancers
|July 29, 2023
PubMed
概括

这项研究开发了SaBrcada,一种使用基因表达数据预测乳腺癌生存间隔的深度学习模型. 该工具为临床医生提供了个性化医疗策略的宝贵见解.

关键词:
年龄分层的分层.乳腺癌 乳腺癌 乳腺癌数据维度提高提高了数据维度.深度学习是一种深度学习.生存分析,生存分析.

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