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通过M2MASC和CNN-BiLSTM集成来提高心脏病的分类,以提高准确性

Vivek Pandey1, Umesh Kumar Lilhore2,3, Ranjan Walia1

  • 1Department of Computer Science and Engineering, Chandigarh University, Punjab, India.

Scientific reports
|October 16, 2024
PubMed
概括

这项研究引入了一种新的心脏病检测模型,使用基于调整的混合注意力启用搜索优化器CNN-BiLSTM. 它整合了区块链和物联网,以获得安全的实时数据,实现分类的高准确性.

关键词:
区块链 区块链 区块链 区块链心脏病检测 心脏病检测修改混合注意力启用基于搜索优化器CNN-BiLSTM的搜索优化器.修改的混合注意力机制.在VGG 16中,VGG 16是第16个.

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