Identification of confusable drug names: a new approach and evaluation methodology

TitleIdentification of confusable drug names: a new approach and evaluation methodology
Publication TypeConference Papers
Year of Publication2004
AuthorsKondrak G, Dorr BJ
Conference NameProceedings of the 20th international conference on Computational Linguistics
Date Published2004///
PublisherAssociation for Computational Linguistics
Conference LocationStroudsburg, PA, USA
Abstract

This paper addresses the mitigation of medical errors due to the confusion of sound-alike and look-alike drug names. Our approach involves application of two new methods---one based on orthographic similarity ("look-alike") and the other based on phonetic similarity ("sound-alike"). We present a new recall-based evaluation methodology for determining the effectiveness of different similarity measures on drug names. We show that the new orthographic measure (BI-SIM) outperforms other commonly used measures of similarity on a set containing both look-alike and sound-alike pairs, and that the feature-based phonetic approach (ALINE) outperforms orthographic approaches on a test set containing solely sound-alike confusion pairs. However, an approach that combines several different measures achieves the best results on both test sets.

URLhttp://dx.doi.org/10.3115/1220355.1220492
DOI10.3115/1220355.1220492