Computing and Information Systems - Research Publications

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Author: Sinnott, Richard × Subject: security × Subject: hypotension × Subject: data-grids ×

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    A clinical grid infrastructure supporting adverse hypotensive event prediction
    STELL, ANTHONY ; SINNOTT, RICHARD ; Jiang, Jipu (IEEE Computer Society, 2009)
    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.