Exploiting medical hierarchies for concept-based information retrieval

Zuccon, Guido, Koopman, Bevan, Nguyen, Anthony, Vickers, Deanne, & Butt, Luke (2012) Exploiting medical hierarchies for concept-based information retrieval. In Proceedings of the Seventeenth Australasian Document Computing Symposium, ACM Digital Library, Dunedin, New Zealand, pp. 111-114.

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Search technologies are critical to enable clinical sta to rapidly and e ectively access patient information contained in free-text medical records. Medical search is challenging as terms in the query are often general but those in rel- evant documents are very speci c, leading to granularity mismatch.

In this paper we propose to tackle granularity mismatch by exploiting subsumption relationships de ned in formal medical domain knowledge resources. In symbolic reasoning, a subsumption (or `is-a') relationship is a parent-child rela- tionship where one concept is a subset of another concept. Subsumed concepts are included in the retrieval function. In addition, we investigate a number of initial methods for combining weights of query concepts and those of subsumed concepts. Subsumption relationships were found to provide strong indication of relevant information; their inclusion in retrieval functions yields performance improvements. This result motivates the development of formal models of rela- tionships between medical concepts for retrieval purposes.

Impact and interest:

14 citations in Scopus
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ID Code: 54713
Item Type: Conference Paper
Refereed: No
Keywords: Medical Information Retrieval, Subsumption, SNOMED CT
DOI: 10.1145/2407085.2407100
ISBN: 9781450314114
Divisions: Current > Institutes > Institute for Future Environments
Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 04 Dec 2013 00:49
Last Modified: 05 Jun 2014 18:25

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