Cargando…
Development of a Bayesian model to estimate health care outcomes in the severely wounded
BACKGROUND: Graphical probabilistic models have the ability to provide insights as to how clinical factors are conditionally related. These models can be used to help us understand factors influencing health care outcomes and resource utilization, and to estimate morbidity and clinical outcomes in t...
Autores principales: | Stojadinovic, Alexander, Eberhardt, John, Brown, Trevor S, Hawksworth, Jason S, Gage, Frederick, Tadaki, Douglas K, Forsberg, Jonathan A, Davis, Thomas A, Potter, Benjamin K, Dunne, James R, Elster, E A |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Dove Medlical Press
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3004592/ https://www.ncbi.nlm.nih.gov/pubmed/21197361 |
Ejemplares similares
-
Lymphocyte Modulation with FTY720 Improves Hemorrhagic Shock Survival in Swine
por: Hawksworth, Jason S., et al.
Publicado: (2012) -
Lymphocyte Depletion in Experimental Hemorrhagic Shock in Swine
por: Hawksworth, Jason S, et al.
Publicado: (2012) -
Development of a Bayesian Classifier for Breast Cancer Risk Stratification: A Feasibility Study
por: Stojadinovic, Alexander, et al.
Publicado: (2010) -
Proteomic sample preparation for blast wound characterization
por: Chromy, Brett A, et al.
Publicado: (2014) -
Wound outcome in combat injuries is associated with a unique set of protein biomarkers
por: Chromy, Brett A, et al.
Publicado: (2013)