Prediction of Recovery From Severe Hemorrhagic Shock Using Logistic Regression

Prediction of Recovery From Severe Hemorrhagic Shock Using Logistic Regression

This paper implements logistic regression models (LRMs) and feature selection for creating a predictive model for recovery form hemorrhagic shock (HS) with resuscitation using blood in the multiple experimental rat animal protocols. A total of 61 animals were studied across multiple HS experiments,...

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Bibliographic Details
Main Authors: Alfredo Lucas, Alexander T. Williams, Pedro Cabrales
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Hemorrhagic shock
logistic regression
critical care
cardiovascular function
Online Access:https://ieeexplore.ieee.org/document/8752052/

Internet

https://ieeexplore.ieee.org/document/8752052/

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