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Building Computational Virtual Reality Environment for Anesthesia

  • Xinyu Cao
  • Peng Zhang
  • Jing HeEmail author
  • Guangyan Huang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9208)

Abstract

In this paper, a Computational Virtual Reality Environment for Anesthesia (CVREA) is proposed. Virtual reality, data mining, machine learning techniques will be explored to develop (1) an immersive and interactive training platform for anaesthetists, which can greatly improve their training and learning performance; (2) a knowledge learning environment which collects clinical data with greater richness, process data with more efficacy, and facilitate knowledge discovery in anaesthesiology.

Keywords

Virtual Reality Machine Learning Technique Virtual Reality Technology Crisis Event Experienced Anaesthetist 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Xinyu Cao
    • 1
  • Peng Zhang
    • 1
  • Jing He
    • 1
    Email author
  • Guangyan Huang
    • 2
  1. 1.College of Engineering and ScienceVictoria UniversityMelbourneAustralia
  2. 2.School of Information TechnologyDeakin UniversityMelbourneAustralia

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