Building computational virtual reality environment for anesthesia


Autoria(s): Cao, Xinyu; Zhang, Peng; He, Jing; Huang, Guangyan
Contribuinte(s)

Zhang, Chengqi

Huang, Wei

Shi, Yong

Yu, Philip S.

Zhu, Yangyong

Tian, Yingjie

Zhang, Peng

He, Jing

Data(s)

01/01/2015

Resumo

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.

Identificador

http://hdl.handle.net/10536/DRO/DU:30082868

Idioma(s)

eng

Publicador

Springer

Relação

http://dro.deakin.edu.au/eserv/DU:30082868/huang-buildingcomputational-2015.pdf

http://dro.deakin.edu.au/eserv/DU:30082868/huang-buildingcomputational-evid-2015.pdf

http://www.dx.doi.org/10.1007/978-3-319-24474-7_21

Direitos

2015, Springer

Tipo

Book Chapter