@conference {13788,
	title = {Identification of confusable drug names: a new approach and evaluation methodology},
	booktitle = {Proceedings of the 20th international conference on Computational Linguistics},
	series = {COLING {\textquoteright}04},
	year = {2004},
	month = {2004///},
	publisher = {Association for Computational Linguistics},
	organization = {Association for Computational Linguistics},
	address = {Stroudsburg, 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.},
	doi = {10.3115/1220355.1220492},
	url = {http://dx.doi.org/10.3115/1220355.1220492},
	author = {Kondrak,Grzegorz and Dorr, Bonnie J}
}
