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Cluster Computing and the Grid, IEEE International Symposium on (2009)
Shanghai, China
May 18, 2009 to May 21, 2009
ISBN: 978-0-7695-3622-4
pp: 508-513
The condition of hypotension – where a person’s arterial blood pressure drops to an abnormally low level – is a common and potentially fatal occurrence in patients under intensive care. As medical interventions to treat such events are typically reactive and often aggressive, there would be great benefit in having a prediction system that can warn health-care professionals of an impending event and thereby allow them to provide non-invasive, preventative treatments. This paper describes the progress of the EU FP7 funded Avert-IT project, which is developing just such a system using Bayesian neural network learning technology based upon an integrated, real-time data grid infrastructure, which draws together heterogeneous data-sets from six clinical centres across Europe.
Hypotension, Data Grids, Performance, Security

J. Jiang, R. Sinnott and A. Stell, "A Clinical Grid Infrastructure Supporting Adverse Hypotensive Event Prediction," Cluster Computing and the Grid, IEEE International Symposium on(CCGRID), Shanghai, China, 2009, pp. 508-513.
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