Semantic search and inferencing in health informatics
Koopman, Bevan, Bruza, Peter D., Lawley, Michael J., & Sitbon, Laurianne (2010) Semantic search and inferencing in health informatics. In Proceedings of CSIRO ICT Centre Conference 2010, CSIRO, Sydney, NSW.
Consider a person searching electronic health records, a search for the term ‘cracked skull’ should return documents that contain the term ‘cranium fracture’. A information retrieval systems is required that matches concepts, not just keywords. Further more, determining relevance of a query to a document requires inference – its not simply matching concepts. For example a document containing ‘dialysis machine’ should align with a query for ‘kidney disease’. Collectively we describe this problem as the ‘semantic gap’ – the difference between the raw medical data and the way a human interprets it. This paper presents an approach to semantic search of health records by combining two previous approaches: an ontological approach using the SNOMED CT medical ontology; and a distributional approach using semantic space vector space models. Our approach will be applied to a specific problem in health informatics: the matching of electronic patient records to clinical trials.
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|Item Type:||Conference Paper|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Schools > Information Systems
|Copyright Owner:||Copyright 2010 CSIRO|
|Deposited On:||08 Mar 2011 00:25|
|Last Modified:||10 Aug 2011 15:28|
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