Abstract
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 trauma patient populations.
Cite
CITATION STYLE
APA
Stojadinovic, A., & Felix. (2010). Development of a Bayesian model to estimate health care outcomes in the severely wounded. Journal of Multidisciplinary Healthcare, 125. https://doi.org/10.2147/jmdh.s11537
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