使用一种基于堆的新型组合分类器检测心血管疾病,具有聚合层,DOWA运算符和特征转换

Mehdi Hosseini Chagahi1, Saeed Mohammadi Dashtaki1, Behzad Moshiri2

  • 1School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.

概括

这项研究引入了一种用于早期发现心血管疾病 (CVD) 的新型机器学习模型. 增强的分类器实现了94.05%的准确性,显著改善了早期诊断和患者的结果.

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