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Updated: Jul 27, 2025

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对基于ML的心脏相关疾病分类特征选择的元启发式优化算法的比较分析

Şevket Ay1, Ekin Ekinci1, Zeynep Garip1

  • 1Computer Engineering Department, Faculty of Technology, Sakarya University of Applied Sciences, Sakarya, 54187 Turkey.

The Journal of supercomputing
|June 12, 2023
PubMed
概括

这项研究提高了心脏病和心力衰竭的预测,使用元启发式算法进行特征选择,通过机器学习模型实现了高达99.72%的显著改善的F-分数.

关键词:
分类 分类 分类 分类.功能选择 功能选择心脏病是什么心脏病心脏衰竭是因为心脏衰竭.机器学习 机器学习超启发式算法 (Meta-heuristic algorithms) 是一种超启发式算法.

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