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dc.contributor.authorSTELL, ANTHONYen_US
dc.contributor.authorSINNOTT, RICHARDen_US
dc.contributor.authorJiang, Jipuen_US
dc.date.accessioned2014-05-21T22:04:48Z
dc.date.available2014-05-21T22:04:48Z
dc.date.issued2009en_US
dc.identifier.citationStell, A., Sinnott, R., & Jiang, J. (2009). A clinical grid infrastructure supporting adverse hypotensive event prediction. In 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, Shanghai, China.en_US
dc.identifier.urihttp://hdl.handle.net/11343/28800
dc.description© 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_US
dc.description.abstractThe 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.en_US
dc.languageengen_US
dc.publisherIEEE Computer Societyen_US
dc.subjecthypotensionen_US
dc.subjectdata-gridsen_US
dc.subjectperformanceen_US
dc.subjectsecurityen_US
dc.titleA clinical grid infrastructure supporting adverse hypotensive event predictionen_US
dc.typeConference Paperen_US
melbourne.peerreviewPeer Revieweden_US
melbourne.affiliationThe University of Melbourneen_US
melbourne.publication.statusPublisheden_US
melbourne.source.title9th IEEE/ACM International Symposium on Cluster Computing and the Griden_US
melbourne.source.pages508-513en_US
melbourne.source.locationconferenceShanghai, Chinaen_US
melbourne.source.editorF. Cappelloen_US
melbourne.source.editorC. L. Wangen_US
melbourne.source.editorR. Buyyaen_US
dc.description.sourcedateconference18-21 Mayen_US
melbourne.elementsidNA
melbourne.contributor.authorSinnott, Richard
melbourne.contributor.authorStell, Anthony
melbourne.accessrightsOpen Access


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