NORMA eResearch @NCI Library

Discovering the Preferences of Physicians with Regards to Rank-Ordered Medical Documents

O'Sullivan, Dympna, Wilk, Syzmon, Michalowski, Wojtek, Slowinski, Roman, Thomas, Roland and Farion, Ken (2012) Discovering the Preferences of Physicians with Regards to Rank-Ordered Medical Documents. In: Advances in Computational Intelligence. Communications in Computer and Information Science (299). Springer, Berlin, Heidelberg, pp. 142-150. ISBN 9783642317187

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1007/978-3-642-31718-7_15

Abstract

The practice of evidence-based medicine involves consulting documents from repositories such as Scopus, PubMed, or the Cochrane Library. The most common approach for presenting retrieved documents is in the form of a list, with the assumption that the higher a document is on a list, the more relevant it is. Despite this list-based presentation, it is seldom studied how physicians perceive the importance of the order of documents presented in a list. This paper describes an empirical study that elicited and modeled physicians’ preferences with regard to list-based results. Preferences were analyzed using a GRIP method that relies on pairwise comparisons of selected subsets of possible rank-ordered lists composed of 3 documents. The results allow us to draw conclusions regarding physicians’ attitudes towards the importance of having documents ranked correctly on a result list, versus the importance of retrieving relevant but misplaced documents. Our findings should help developers of clinical information retrieval applications when deciding how retrieved documents should be presented and how performance of the application should be assessed.

Item Type: Book Section
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software
R Medicine > Healthcare Industry
Divisions: School of Computing > Staff Research and Publications
Depositing User: Caoimhe Ní Mhaicín
Date Deposited: 22 Sep 2018 09:25
Last Modified: 22 Sep 2018 09:25
URI: https://norma.ncirl.ie/id/eprint/3173

Actions (login required)

View Item View Item