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Updated: Jul 1, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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机器学习算法揭示乳腺癌风险因素:来自大型病例对照研究的见解

Mostafa Dianati-Nasab1,2, Khodakaram Salimifard3, Reza Mohammadi4

  • 1School of Medical and Life Sciences, Sunway University, Sunway City, Malaysia.

Frontiers in oncology
|March 1, 2024
PubMed
概括

机器学习模型确定了伊朗的关键乳腺癌风险因素,包括胸部X射线史和生活方式选择. 这些发现有助于针对高风险女性制定有针对性的预防策略.

关键词:
引导集成分类和回归树.乳腺癌 乳腺癌 乳腺癌极端的梯度增强了极端的梯度.机器学习是机器学习.神经网络的神经网络的神经网络随机的森林随机的森林风险因素的风险因素是什么

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