Development of a Bayesian model to estimate health care outcomes in the severely wounded

  • Stojadinovic A
  • Felix
N/ACitations
Citations of this article
31Readers
Mendeley users who have this article in their library.

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free