University Library
  • Login
A gateway to Melbourne's research publications
Minerva Access is the University's Institutional Repository. It aims to collect, preserve, and showcase the intellectual output of staff and students of the University of Melbourne for a global audience.
View Item 
  • Minerva Access
  • Engineering
  • Computing and Information Systems
  • Computing and Information Systems - Research Publications
  • View Item
  • Minerva Access
  • Engineering
  • Computing and Information Systems
  • Computing and Information Systems - Research Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

    A distributed clinical data platform for physiological studies in the brain trauma domain

    Thumbnail
    Citations
    Altmetric
    Author
    STELL, ANTHONY; SINNOTT, RICHARD; Donald, Rob; Chambers, Iain; Citerio, Giuseppe; Enblad, Per
    Date
    2010
    Source Title
    2010 Sixth IEEE International Conference on e-Science
    Publisher
    IEEE Computer Society
    University of Melbourne Author/s
    Sinnott, Richard; Stell, Anthony
    Affiliation
    Department of Computing and Information Systems
    Metadata
    Show full item record
    Document Type
    Conference Paper
    Citations
    Stell, A., Sinnott, R., Donald, R., Chambers, I., Citerio, G., Enblad, P., et al. (2010). A distributed clinical data platform for physiological studies in the brain trauma domain. In Sixth IEEE International Conference on e-Science, Brisbane, Queensland.
    Access Status
    This item is currently not available from this repository
    URI
    http://hdl.handle.net/11343/32690
    Description

    Publisher’s permission requested and denied.

    Abstract
    There are many serious and acute physiological conditions about which we have incomplete medical knowledge that can support optimal healthcare intervention. To develop effective treatments a wealth of clinical data is required for collection, analysis and feedback. Such data often does exist but is typically held in a variety of different formats and locations. This paper describes the EU FP7-funded Avert-IT project (www.avert-it.org), which has developed an integrated, real-time physiological data grid infrastructure (HypoNet) to address the specific issue of prediction of hypotensive events in the brain trauma domain and is currently being used as part of a large multi-centre clinical trial. The implementation and application of the HypoNet system is described here.
    Keywords
    hypotension; clinical data-grids; security

    Export Reference in RIS Format     

    Endnote

    • Click on "Export Reference in RIS Format" and choose "open with... Endnote".

    Refworks

    • Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References


    Collections
    • Computing and Information Systems - Research Publications [1454]
    Minerva AccessDepositing Your Work (for University of Melbourne Staff and Students)NewsFAQs

    BrowseCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects
    My AccountLoginRegister
    StatisticsMost Popular ItemsStatistics by CountryMost Popular Authors