Computing and Information Systems - Research Publications

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    Secure, performance-oriented data management for nanoCMOS Electronics
    Sinnott, RO ; Bayliss, C ; Davenhall, C ; Harbulot, B ; Jones, M ; Millar, C ; Roy, G ; Roy, S ; Stewart, G ; Watt, J ; Asenov, A (IEEE, 2008-12-01)
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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.