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数据增强变换在XGBoost中对于CVD预测具有重要意义

Shuai Chang1, Xiangyu Wang1, Yu Luo2

  • 1Department of Physical Education, Capital Normal University, Beijing, 100048, China.

Scientific reports
|November 25, 2025
PubMed
概括

数据增强显著改变了用于心血管疾病 (CVD) 预测的机器学习模型,更改了特征的重要性,而不是准确性. 评估合成数据的评估

关键词:
心血管疾病是什么心血管疾病数据增强数据增强功能重要性 功能重要性生成性的对抗性网络.在XGBoost中使用.

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