title: Using semantic predications to characterize the clinical cardiovascular literature.
abstract: Using a database of semantic predications extracted from MEDLINE citations, we describe semantic characteristics of the cardiovascular literature, distinguishing therapy from diagnosis studies. Used with existing methodological filters in PubMed, the method may be useful for enhancing precision.
authors.affiliation: National Library of Medicine, Bethesda, MD; University of Utah, Salt Lake City, UT, USA.
authors.forename: Bruce E
authors.initials: BE
authors.lastname: Bray
authors.forename: Marcelo
authors.initials: M
authors.lastname: Fiszman
authors.forename: Dongwook
authors.initials: D
authors.lastname: Shin
authors.forename: Thomas C
authors.initials: TC
authors.lastname: Rindflesch
mesh_terms: D000043:Abstracting and Indexing / Q000379:methods*; D000465:Algorithms; D001185:Artificial Intelligence; D002318:Cardiovascular Diseases / Q000145:classification / Q000175:diagnosis* / Q000628:therapy*; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods; D038622:Internationality; D016239:MEDLINE; D009323:Natural Language Processing; D010363:Pattern Recognition, Automated / Q000379:methods; D010506:Periodicals as Topic / Q000145:classification* / Q000706:statistics & numerical data*; D012660:Semantics; D009626:Terminology as Topic