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Trusting Intensive Care Unit (ICU) Medical Data: A Semantic Web Approach

  • Laura Moss
  • David Corsar
  • Ian Piper
  • John Kinsella
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7885)

Abstract

The Intensive Care Unit (ICU) domain generates large volumes of patient data which can be used in medical research. However, inaccuracies often exist in this data and due to the data’s size and domain complexity, automated approaches are required to associate a level of quality and trust with the data. We describe a computational framework to perform such assessments based on semantic web technologies. Linked data enables integration with other datasets, which can be used along with details of the data’s provenance and medical domain knowledge from appropriate ontologies. We have successfully applied the framework to two types of ICUs: general medical and traumatic brain injury.

Keywords

Data Quality Semantic Web Ontologies Critical Care 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Laura Moss
    • 1
    • 2
    • 3
  • David Corsar
    • 1
  • Ian Piper
    • 3
  • John Kinsella
    • 2
  1. 1.Department of Computing ScienceUniversity of AberdeenAberdeenScotland
  2. 2.School of MedicineUniversity of GlasgowGlasgowScotland
  3. 3.Department of Clinical PhysicsUniversity of GlasgowGlasgowScotland

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