An architecture for multi-dimensional temporal abstraction and its application to support neonatal intensive care

Michael Stacey, Carolyn McGregor, Mark Tracy

    Research output: Chapter in Book / Conference PaperConference Paper

    Abstract

    ![CDATA[Temporal abstraction (TA) provides the means to instil domain knowledge into data analysis processes and allows transformation of low level numeric data to high level qualitative narratives. TA mechanisms have been primarily applied to uni-dimensional data sources equating to single patients in the clinical context. This paper presents a framework for multi-dimensional TA (MDTA) enabling analysis of data emanating from numerous patients to detect multiple conditions within the environment of neonatal intensive care. Patient agents which perform temporal reasoning upon patient data streams are based on the event calculus and an active ontology provides a central knowledge core where rules are stored and agent responses accumulated, thus permitting a level of multi-dimensionality within data abstraction processes. Facilitation of TA across a ward of patients offers the potential for early detection of debilitating conditions such as Sepsis, Pneumothorax and Periventricular Leukomalacia (PVL), which have been shown to exhibit advance indicators in physiological data. Preliminary prototyping for patient agents has begun with promising results and a schema for the active rule repository outlined.]]
    Original languageEnglish
    Title of host publication2007 Annual International Conference of the IEEE Engineering in Medicine and Biology Society : Lyon, France, 22-26 August 2007
    PublisherIEEE
    Number of pages5
    ISBN (Electronic)1424407877
    ISBN (Print)9781424407873
    Publication statusPublished - 2007
    EventIEEE Engineering in Medicine and Biology Society. Conference -
    Duration: 28 Aug 2012 → …

    Conference

    ConferenceIEEE Engineering in Medicine and Biology Society. Conference
    Period28/08/12 → …

    Keywords

    • ontologies (information retrieval)
    • data analysis
    • neonatal intensive care
    • qualitative research
    • diagnosis
    • temporal abstraction

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