Machine Learning Models for Tracking Blood Loss and Resuscitation in a Hemorrhagic Shock Swine Injury Model

Hemorrhage leading to life-threatening shock is a common and critical problem in both civilian and military medicine. Due to complex physiological compensatory mechanisms, traditional vital signs may fail to detect patients’ impending hemorrhagic shock in a timely manner when life-saving interventio...

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Detaylı Bibliyografya
Asıl Yazarlar:	Jose M. Gonzalez, Ryan Ortiz, Lawrence Holland, Austin Ruiz, Evan Ross, Eric J. Snider
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	MDPI AG 2024-10-01
Seri Bilgileri:	Bioengineering
Konular:	feature extraction hemorrhage machine learning deep learning predictive modeling advanced monitoring
Online Erişim:	https://www.mdpi.com/2306-5354/11/11/1075
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Machine Learning Models for Tracking Blood Loss and Resuscitation in a Hemorrhagic Shock Swine Injury Model

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