Development of a Bayesian Model to Estimate Health Care Outcomes in the Severely Wounded

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.

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Document Details

Document Type
Technical Report
Publication Date
Aug 13, 2010
Accession Number
ADA534169

Entities

People

  • Alexander Stojadinovic
  • Benjamin K. Potter
  • Douglas K. Tadaki
  • E. A. Elster
  • Frederick Gage
  • James R. Dunne
  • Jason S. Hawksworth
  • John Eberhardt
  • Jonathan A. Forsberg
  • Thomas A. Davis
  • Trevor S. Brown

Organizations

  • Walter Reed Army Medical Center

Tags

DTIC Thesaurus Topics

  • Bayesian Networks
  • Blood Transfusions
  • Brain Injuries
  • Composite Materials
  • Data Analysis
  • Debridement
  • Health Care
  • Health Services
  • Hospitals
  • Medical Personnel
  • Therapy

Fields of Study

  • Medicine

Readers

  • Computational Modeling and Simulation
  • Medical or Health Care Field.
  • Regression Analysis.

Technology Areas

  • AI & ML