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Efficient sepsis detection using deep learning and residual convolutional networks.

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第一作者： Ahmed,S Almasoud

第一单位： Department of Information Systems, College of Computer and Information Sciences, Prince Sultan University, Saudi Arabia.

作者： Ahmed,S Almasoud ^[1] ; Ghada Moh,Samir Elhessewi ^[2] ; Munya A,Arasi ^[3] ; Abdulsamad Ebrahim,Yahya ^[4] ; Menwa,Alshammeri ^[5] ; Donia,Badawood ^[6] ; Faisal,Mohammed Nafie ^[7] ; Mohammed,Assiri ^[8]

作者单位： Department of Information Systems, College of Computer and Information Sciences, Prince Sultan University, Saudi Arabia. ^[1] Department of Health Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, Saudi Arabia. ^[2] Department of Computer Science, Applied College at RijalAlmaa, King Khalid University, Saudi Arabia. ^[3] Department of Information Technology, College of Computing and Information Technology, Northern Border University, Arar, Saudi Arabia. ^[4] Department of Computer Science, College of Computer and Information Sciences, Jouf University, Saudi Arabia. ^[5] Department of Data Science, School of Computers, Umm Al-Qura University, Saudi Arabia. ^[6] Department of Natural and Applied Sciences, Community College, Majmaah University, Al Majma'ah, Saudi Arabia. ^[7] Department of Computer Science, College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia. ^[8]

关键词 African vulture optimization algorithm Deep learning Dilated convolution Enhanced convolutional learning Sepsis detection Spatio-channel attention

DOI 10.7717/peerj-cs.2958

PMID 40989398

发布时间 2025-09-26

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