title: Identifying proper names in parallel medical terminologies.
abstract: We propose several criteria to identify proper names in biomedical terminologies. Traditional, pattern-based methods that rely on the immediate context of a proper name are not applicable. However, the availability of translations of some terminologies supports methods based on invariant words instead. A combination of five criteria achieved 86% precision and 88% recall on the 16,401 word forms of the International Classification of Diseases.
authors.affiliation: U.S. National Library of Medicine, Bethesda, MD, USA.
authors.forename: O
authors.initials: O
authors.lastname: Bodenreider
authors.forename: P
authors.initials: P
authors.lastname: Zweigenbaum
mesh_terms: D004194:Disease / Q000145:classification*; D004850:Eponyms; D006801:Humans; D009626:Terminology as Topic; D017432:Unified Medical Language System