AEHRC & QUT at TREC 2011 Medical Track : a concept-based information retrieval approach


Autoria(s): Koopman, Bevan; Bruza, Peter; Sitbon, Laurianne; Lawley, Michael
Contribuinte(s)

Voorhees, E. M.

Buckland, Lori P.

Data(s)

01/11/2011

Resumo

The Australian e-Health Research Centre and Queensland University of Technology recently participated in the TREC 2011 Medical Records Track. This paper reports on our methods, results and experience using a concept-based information retrieval approach. Our concept-based approach is intended to overcome specific challenges we identify in searching medical records. Queries and documents are transformed from their term-based originals into medical concepts as de ned by the SNOMED-CT ontology. Results show our concept-based approach performed above the median in all three performance metrics: bref (+12%), R-prec (+18%) and Prec@10 (+6%).

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/53156/

Publicador

National Institute of Standards and Technology (NIST)

Relação

http://eprints.qut.edu.au/53156/1/med_track-2011.pdf

http://trec.nist.gov/pubs/trec20/t20.proceedings.html

Koopman, Bevan, Bruza, Peter, Sitbon, Laurianne, & Lawley, Michael (2011) AEHRC & QUT at TREC 2011 Medical Track : a concept-based information retrieval approach. In Voorhees, E. M. & Buckland, Lori P. (Eds.) Proceedings of 20th Text REtrieval Conference (TREC 2011), National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA, pp. 1-7.

Direitos

Copyright 2011 Please consult the authors

Fonte

School of Electrical Engineering & Computer Science; School of Information Systems; Science & Engineering Faculty

Tipo

Conference Paper