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对监督学习算法的比较分析,用于预测心血管疾病

Yifeng Dou1,2,1, Jiantao Liu1,2,1, Wentao Meng1,2

  • 1Network Information Center, Tianjin Baodi Hospital, Tianjin, China.

Technology and health care : official journal of the European Society for Engineering and Medicine
|May 17, 2024
PubMed
概括

这项研究开发了用于心血管疾病 (CVD) 预测的先进机器学习融合模型. 合并模型显著提高了预测准确性和稳定性,为早期疾病干预提供了有价值的工具.

关键词:
心血管疾病是什么心血管疾病这是一个比较的比较.组合学习组合学习功能选择 功能选择预测 预测 预测 预测监督学习学习监督学习

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