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Updated: Jun 10, 2025

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使用FS-XGB和GWO方法进行有效的心脏病分类

Daphin Lilda S1, Jayaparvathy R1

  • 1Dept. of Electrical and Electronics Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India.

Medical engineering & physics
|October 20, 2024
PubMed
概括

这项研究引入了一种新的机器学习方法,使用灰狼优化用于电心图 (ECG) 分析中的特征选择,显著提高了用更少的特征来检测心血管疾病 (CVD) 的准确性.

关键词:
心血管疾病 (CVD) 是一种心血管疾病.电心电图 (ECG) 是一种心电图.功能缩减 功能缩减灰色狼优化 (GWO) 是一种优化方法.功能特定的极端梯度增强 (FS-XGB)

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