Efficient sepsis detection using deep learning and residual convolutional networks

Sepsis is a life-threatening complication caused by infection that leads to extensive tissue damage. If not treated promptly, it can become fatal. Early identification and diagnosis of sepsis are critical to improving patient outcomes. Although recent technological advancements have aided sepsis det...

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Bibliographic Details
Main Authors:	Ahmed S. Almasoud, Ghada Moh Samir Elhessewi, Munya A. Arasi, Abdulsamad Ebrahim Yahya, Menwa Alshammeri, Donia Badawood, Faisal Mohammed Nafie, Mohammed Assiri
Format:	Article
Language:	English
Published:	PeerJ Inc. 2025-07-01
Series:	PeerJ Computer Science
Subjects:	Sepsis detection Deep learning African vulture optimization algorithm Enhanced convolutional learning Spatio-channel attention Dilated convolution
Online Access:	https://peerj.com/articles/cs-2958.pdf
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Efficient sepsis detection using deep learning and residual convolutional networks

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