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机器学习用于使用不平衡数据预测中风

Nataliia Melnykova1, Yurii Patereha2, Stepan Skopivskyi1

  • 1Department of Artificial Intelligence, Lviv Polytechnic National University, Lviv, 79013, Ukraine.

Scientific reports
|September 30, 2025
PubMed
概括

这项研究通过在不平衡的数据上使用机器学习来增强中风预测. 随机森林模型实现了高性能,证明了适当的指标的重要性超越准确性可靠的健康预测.

关键词:
艾达提升了我们的动力.决策树 决策树是一个决策树.在网格搜索中搜索.K-邻居们的邻居们机器学习 机器学习随机的森林随机的森林随机不足样本的随机采样堆叠堆叠 在堆叠堆叠.一次性中风,中风.

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