title: Generalizability of hybrid search algorithms to map multiple biomedical vocabulary domains.
abstract: Hybrid text matching algorithms similar to those used for DNA sequencing were developed by 3M Health Information Systems to map a noisy legacy codeset to the 3M Healthcare Data Dictionary (3M HDD). Applying these techniques to map other biomedical vocabularies was briefly introduced in an earlier paper describing the algorithms. We now present results from successfully utilizing them to map different vocabularies across multiple biomedical domains, proving their generalizability.
authors.affiliation: 3M Health Information Systems, Salt Lake City, Utah, USA.
authors.forename: Senthil K
authors.initials: SK
authors.lastname: Nachimuthu
authors.forename: R Dean
authors.initials: RD
authors.lastname: Woolstenhulme
mesh_terms: D000465:Algorithms; D009323:Natural Language Processing; D039061:Systematized Nomenclature of Medicine; D017432:Unified Medical Language System; D018875:Vocabulary, Controlled