A Clinical Grid Infrastructure Supporting Adverse Hypotensive Event Prediction

Anthony Stell, Richard Sinnott, Jipu Jiang
2009 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid  
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
more » ... ss 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.
doi:10.1109/ccgrid.2009.43 dblp:conf/ccgrid/StellSJ09 fatcat:nuqg3gsbynd67ccxody7ac64fu