title: Using digrams to map controlled medical vocabularies.
abstract: A program for matching between controlled medical vocabularies has been developed which adopts methods used in the domain of Information Retrieval. This program combines a stemmer based on fragments of words (digrams) with a similarity function. The proposed stemmer did not require any knowledge about word-formation rules and helped the identification of several kinds of word variants. The adopted similarity function assigned the highest score to the best candidate match in 99.0% of the cases.
authors.affiliation: Department of Medical Informatics, University of Utah 84112.
authors.forename: R A
authors.initials: RA
authors.lastname: Rocha
authors.forename: S M
authors.initials: SM
authors.lastname: Huff
mesh_terms: D000465:Algorithms; D005069:Evaluation Studies as Topic; D016247:Information Storage and Retrieval; D008491:Medical Informatics Applications; D012984:Software; D013358:Subject Headings; D017432:Unified Medical Language System