Exploitation of Bayesian Networks for Clinical Decision Support on the Battlefield

Abstract

The purpose of this research is to optimize the care of battlefield trauma patients through the development of Bayesiannetwork (BN) machine learning-powered clinical decision-support (CDS) tools. Scope: The scope of the researchencompasses the refinement of existing BNs, and development and prototyping of new BNs designed for pre-hospital, enroute, and deployed healthcare facility stages of care, such that CDS prototypes are available for piloting and assessment infuture, real-world clinical studies.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2020
Accession Number
AD1174412

Entities

People

  • Nigel Tai

Organizations

  • Queen Mary University of London

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Bayesian Networks
  • Blood Transfusions
  • Combat Injuries
  • Covid-19
  • Data Sets
  • Employment
  • Health Services
  • Hospitals
  • Machine Learning
  • Management Personnel
  • Medical Personnel
  • Military Applications
  • Military Hospitals
  • Military Medicine
  • Predictive Modeling
  • Students
  • User Interface

Readers

  • Distributed Systems and Data Platform Development
  • Organizational Process Management (OPM).
  • Trauma or Military Medicine

Technology Areas

  • AI & ML