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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© 2015 Springer International Publishing Switzerland
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Cao, X., Zhang, P., He, J., Huang, G. (2015). Building Computational Virtual Reality Environment for Anesthesia. In: Zhang, C., et al. Data Science. ICDS 2015. Lecture Notes in Computer Science(), vol 9208. Springer, Cham. https://doi.org/10.1007/978-3-319-24474-7_21
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DOI: https://doi.org/10.1007/978-3-319-24474-7_21
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