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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,...
| Formato: | Online Artículo Texto |
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| Lenguaje: | English |
| Publicado: |
IEEE
2019
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| Materias: | |
| 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 |