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 language | English |
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Title of host publication | 25th International Symposium on Computer-Based Medical Systems (CBMS), 2012 |
Editors | Paolo Soda, Francesco Tortorella |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 1-4 |
Number of pages | 4 |
ISBN (Print) | 9781467320498 |
DOIs | |
Publication status | Published - 20 Jun 2012 |
Event | 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS) - Rome, Italy Duration: 20 Jun 2012 → 22 Jun 2012 |
Conference
Conference | 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS) |
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Country/Territory | Italy |
City | Rome |
Period | 20/06/12 → 22/06/12 |