Moss, L. , Corsar, D. and Piper, I. (2012) A Linked Data Approach to Assessing Medical Data. In: 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS), Rome, Italy, 20-22 Jun 2012, ISBN 9781467320511 (doi: 10.1109/CBMS.2012.6266391)
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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.
| Item Type: | Conference Proceedings |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Piper, Dr Ian and Moss, Dr Laura |
| Authors: | Moss, L., Corsar, D., and Piper, I. |
| College/School: | College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing |
| ISSN: | 1063-7125 |
| ISBN: | 9781467320511 |
| Published Online: | 31 August 2012 |
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