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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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6661015/
https://www.ncbi.nlm.nih.gov/pubmed/31367491
http://dx.doi.org/10.1109/JTEHM.2019.2924011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6661015/
https://www.ncbi.nlm.nih.gov/pubmed/31367491
http://dx.doi.org/10.1109/JTEHM.2019.2924011

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