A linked data approach to assessing medical data

L. Moss, D. Corsar, I. Piper

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Vast amounts of medical data are now routinely collected. This data is often subsequently used in medical research. However, the quality of the data can vary widely. Existing automated approaches to data quality assurance largely rely on threshold rules that can miss errors requiring complex domain knowledge to identify. In this paper we describe a framework to assess the reliability of medical data using linked data and semantic web technologies. This approach has been evaluated in the Neuro-Intensive Care Unit domain, successfully identifying potential errors in the recorded observations, and indicating that various ontologies proposed by the medical and sensor network communities can be used to represent medical observation data.
Original languageEnglish
Title of host publication25th International Symposium on Computer-Based Medical Systems (CBMS), 2012
EditorsPaolo Soda, Francesco Tortorella
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-4
Number of pages4
ISBN (Print)9781467320498
DOIs
Publication statusPublished - 20 Jun 2012
Event2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS) - Rome, Italy
Duration: 20 Jun 201222 Jun 2012

Conference

Conference2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS)
CountryItaly
CityRome
Period20/06/1222/06/12

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  • Cite this

    Moss, L., Corsar, D., & Piper, I. (2012). A linked data approach to assessing medical data. In P. Soda, & F. Tortorella (Eds.), 25th International Symposium on Computer-Based Medical Systems (CBMS), 2012 (pp. 1-4). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CBMS.2012.6266391