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Advanced Arterial Hypotension Adverse Event Prediction through a Novel Bayesian Neural Network



The AVERT-IT project has recently been funded by the EU under the FW7 ICT e-Health programme. This 3-year project will provide a system where secure access to a range of neurological/brain trauma data including real time physiological data; demographic data and a variety of other clinical data will be securely accessed across Europe. NeSC are e-Infrastructure providers in this project. Through these combined data sets, novel Bayesian algorithms will be prototyped and explored to predict potential adverse events to patients. This combination of security combined with a variety of heterogeneous clinical data resources, including heterogeneity of the nature of production of the data itself (real time/streamed data, static demographic data etc), will offer whole new avenues of clinical data research .

Maturity: Initial Research
Region: UK
Type: Research
Grant Value: £1,000,000.00
Start Date: 01/01/2008
End Date: 31/01/2010
Project Status: funded
Funding Agency: EU

Project Members
Prof Richard Sinnott

Collaborating Organisations
National e-Science Centre
University of Glasgow

Component(s) Project Develops
This project is not associated with any components at present.

Application Area(s) associated with Project
This project is not associated with any application areas at present.


Last Updated: 22 Jun 12 11:02
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