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An IoT-enabled heart disease prediction framework using hybrid and multi-dilated convolution aided adaptive residual attention network.

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第一作者： A,Moorthy

第一单位： Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, Tamil Nadu, 602105, India.

作者： A,Moorthy ^[1] ; V,Sarala ^[1] ; C,Sivasankar ^[2] ; S,Parthiban ^[1] ; U,Samson Ebenezar ^[1]

作者单位： Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, Tamil Nadu, 602105, India. ^[1] Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, Tamil Nadu, 602105, India. sivasankarc.sse@saveetha.com. ^[2]

关键词 Heart disease prediction Hybrid and multi-dilated convolution-based adaptive residual attention network Internet of Things Modified crayfish optimization algorithm Short-time Fourier transform

DOI 10.1007/s13246-026-01727-1

PMID 42012555

发布时间 2026-04-21

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An IoT-enabled heart disease prediction framework using hybrid and multi-dilated convolution aided adaptive residual attention network.

Physical and engineering sciences in medicine

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An IoT-enabled heart disease prediction framework using hybrid and multi-dilated convolution aided adaptive residual attention network.

Physical and engineering sciences in medicine

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Physical and engineering sciences in medicine

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