Exploitation of Bayesian Networks for Clinical Decision Support on the Battlefield

Abstract

The research subject concerns optimizing the care of battlefield trauma patients through the purposeful development and validation of accurate, clinically credible prognostic tools that will support informed and personalized treatment decisions by quantifying clinically relevant risks. The scope of the research encompasses the development and prototyping of tools designed for prehospital, en-route, and deployed healthcare facility stages of care, such that these prototypes are available for piloting and assessment in a clinical context.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2021
Accession Number
AD1174931

Entities

People

  • Nigel R. Tai

Organizations

  • Queen Mary University of London

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Bayesian Networks
  • Blood Transfusions
  • Cognition
  • Combat Injuries
  • Computational Science
  • Employment
  • Health Services
  • Machine Learning
  • Medical Personnel
  • Military Medicine
  • Predictive Modeling
  • Probability
  • Students
  • User Interface

Readers

  • Defense Technology Research and Development.
  • Oncology and Biomarker-Based Cancer Detection.
  • Trauma or Military Medicine

Technology Areas

  • AI & ML