Query expansion using medical information extraction for improving information retrieval in French medical domain

Ghoulam, A, Barigou, F, Belalem, G and Meziane, F ORCID: https://orcid.org/0000-0001-9811-6914 2018, 'Query expansion using medical information extraction for improving information retrieval in French medical domain' , International Journal of Intelligent Information Technologies, 14 (3) , pp. 1-17.

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Abstract

Many users’ queries contain references to named entities, and this is particularly true in the medical field. Doctors express their information needs using medical entities as they are elements rich with information that helps to better target the relevant documents. At the same time, many resources have been recognized as a large container of medical entities and relationships between them such as clinical reports; which are medical texts written by doctors. In this paper, we present a query expansion method that uses medical entities and their semantic relations in the query context based on an external resource in OWL. The goal of this method is to evaluate the effectiveness of an information retrieval system to support doctors in accessing easily relevant information. Experiments on a collection of real clinical reports show that our approach reveals interesting improvements in precision, recall and MAP in medical information retrieval.

Item Type: Article
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title: International Journal of Intelligent Information Technologies
Publisher: IGI Global
ISSN: 1548-3657
Related URLs:
Depositing User: Prof Farid Meziane
Date Deposited: 02 May 2018 15:30
Last Modified: 03 May 2018 08:48
URI: http://usir.salford.ac.uk/id/eprint/46922

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