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Updated: Feb 10, 2026

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients
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一个CNN-GRU框架用于使用IMOWPA调整的SMOTE和LZMA压缩来预测中风-心脏病发作

Uma Maheswari V1, Santosh Kumar B2, Rajanikanth Aluvalu3

  • 1Department of CSE, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India.

Digital health
|February 9, 2026
PubMed
概括

这项研究引入了一种新的方法,可以从不平衡的医疗保健数据准确预测中风. 卷积神经网络带有不平衡数据处理的反复单元 (CNN-GRU-IDH) 模型改善了早期中风检测.

关键词:
卷积神经网络带有门的循环单元.改进了多目标狼群算法在SMOTE中使用.不平衡的数据不平衡的数据.预测中风 预测中风

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