The medical cyber-physical systems activity at EIT: A look under the hood

Daniel Sonntag, Sonja Zillner, Samarjit Chakraborty, Andras Lorincz, Esko Strömmer, Luciano Serafini

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    9 Citations (Scopus)

    Abstract

    In this paper, we describe how we combine active and passive user input modes in clinical environments for knowledge discovery and knowledge acquisition towards decision support in clinical environments. Active input modes include digital pens, smartphones, and automatic handwriting recognition for a direct digitalisation of patient data. Passive input modes include sensors of the clinical environment and or mobile smartphones. This combination for knowledge acquisition and decision support (while using machine learning techniques) has not yet been explored in clinical environments and is of specific interest because it combines previously unconnected information sources for individualised treatments. The innovative aspect is a holistic view on individual patients based on ontologies, terminologies, and textual patient records whereby individual active and passive real-time patient data can be taken into account for improving clinical decision support.
    Original languageEnglish
    Title of host publication2014 IEEE 27th International Symposium on Computer-Based Medical Systems (CBMS '14)
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages351-356
    ISBN (Electronic)978-1-4799-4435-4
    DOIs
    Publication statusPublished - 2014
    MoE publication typeA4 Article in a conference publication
    EventIEEE 27th International Symposium on Computer-Based Medical Systems - New York, NY, United States
    Duration: 27 May 201429 May 2014

    Publication series

    SeriesIEEE International Symposium on Computer-Based Medical Systems
    Volume27
    ISSN2372-918X

    Conference

    ConferenceIEEE 27th International Symposium on Computer-Based Medical Systems
    Abbreviated titleCBMS 2014
    Country/TerritoryUnited States
    CityNew York, NY
    Period27/05/1429/05/14

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