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.
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.
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|Item Type:||Conference Paper|
|Keywords:||Medical Information Retrieval, Subsumption, SNOMED CT|
|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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