TSNet – A Distributed Architecture for Time Series Analysis

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    1 Citation (Scopus)

    Abstract

    Abstracting complex time-series data is a necessary precursor to the application of clinical guidelines and protocols in areas such as the Intensive Care Unit where large volumes of data are generated. If we are to obtain a consensus as to the best ways to achieve these abstractions, different research groups need to be able to experiment with data acquired from a variety of sources, and to apply algorithms developed elsewhere. However, sharing of data and algorithms is known to be difficult. This paper sets out an infrastructure which has been developed to allow collaborative working of this kind.
    Original languageEnglish
    Title of host publicationComputer-based medical guidelines and protocols
    Subtitle of host publicationA primer and current trends
    EditorsAnnette Ten Teije, Sylvia Miksch, Peter Lucas
    Place of PublicationAmsterdam, Netherlands
    PublisherIOS Press
    Pages223-232
    Number of pages10
    ISBN (Print)1586038737, 978-1586038731
    Publication statusPublished - 10 Sep 2008

    Publication series

    NameStudies in Health Technology and Informatics
    PublisherIOS Press
    Number139

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    Cite this

    Hunter, J. (2008). TSNet – A Distributed Architecture for Time Series Analysis. In A. Ten Teije, S. Miksch, & P. Lucas (Eds.), Computer-based medical guidelines and protocols: A primer and current trends (pp. 223-232). (Studies in Health Technology and Informatics; No. 139). Amsterdam, Netherlands: IOS Press.