title: A strategy for assigning new concepts in the MEDLINE database.
abstract: The MeSH indexing done in MEDLINE is engineered by humans. Humans define the MeSH concepts and human indexers assign MeSH terms to MEDLINE records. Methods have been designed in an attempt to assign MeSH terms to MEDLINE documents automatically with some success. Methods have also been designed to locate useful phrases as potential concepts for indexing. However, little work has been done on the problem of how one might automatically index with the concepts represented by such phrases. Here we examine this issue and present a method for such indexing.
authors.affiliation: National Center for Biotechnology Information (NCBI), National Library of Medicine, Bethesda, MD 20894, USA.
authors.forename: Won
authors.initials: W
authors.lastname: Kim
authors.forename: W John
authors.initials: WJ
authors.lastname: Wilbur
mesh_terms: D000043:Abstracting and Indexing / Q000379:methods*; D001185:Artificial Intelligence; D001499:Bayes Theorem; D016239:MEDLINE; D046650:Medical Subject Headings; D009323:Natural Language Processing