Graph-based concept weighting for medical information retrieval
Koopman, Bevan, Zuccon, Guido , Bruza, Peter, Sitbon, Laurianne, & Lawley, Michael (2012) Graph-based concept weighting for medical information retrieval. In ADCS 2012 Proceedings of the Seventeenth Australasian Document Computing Symposium, ACM, University of Otago, Dunedin, New Zealand, pp. 80-87.
This paper presents a graph-based method to weight medical concepts in documents for the purposes of information retrieval. Medical concepts are extracted from free-text documents using a state-of-the-art technique that maps n-grams to concepts from the SNOMED CT medical ontology. In our graph-based concept representation, concepts are vertices in a graph built from a document, edges represent associations between concepts. This representation naturally captures dependencies between concepts, an important requirement for interpreting medical text, and a feature lacking in bag-of-words representations.
We apply existing graph-based term weighting methods to weight medical concepts. Using concepts rather than terms addresses vocabulary mismatch as well as encapsulates terms belonging to a single medical entity into a single concept. In addition, we further extend previous graph-based approaches by injecting domain knowledge that estimates the importance of a concept within the global medical domain.
Retrieval experiments on the TREC Medical Records collection show our method outperforms both term and concept baselines. More generally, this work provides a means of integrating background knowledge contained in medical ontologies into data-driven information retrieval approaches.
Impact and interest:
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|Item Type:||Conference Paper|
|Keywords:||Information systems, Information retrieval, Medical Information Retrieval, Graph Theory|
|Divisions:||Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2012 ACM New York, NY, USA|
|Deposited On:||19 Feb 2013 01:38|
|Last Modified:||25 Mar 2014 07:35|
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