title: Information-theoretic classification of SNOMED improves the organization of context-sensitive excerpts from Cochrane reviews.
abstract: The emphasis on evidence based medicine (EBM) has placed increased focus on finding timely answers to clinical questions in presence of patients. Using a combination of natural language processing for the generation of clinical excerpts and information theoretic distance based clustering, we evaluated multiple approaches for the efficient presentation of context-sensitive EBM excerpts.
authors.affiliation: Center for Biomedical Informatics, University of Chicago, IL, USA.
authors.forename: Lee
authors.initials: L
authors.lastname: Sam
authors.forename: Tara
authors.initials: T
authors.lastname: Borlawsky
authors.forename: Ying
authors.initials: Y
authors.lastname: Tao
authors.forename: Jianrong
authors.initials: J
authors.lastname: Li
authors.forename: Carol
authors.initials: C
authors.lastname: Friedman
authors.forename: Barry
authors.initials: B
authors.lastname: Smith
authors.forename: Yves A
authors.initials: YA
authors.lastname: Lussier
mesh_terms: D019317:Evidence-Based Medicine; D006801:Humans; D007257:Information Theory; D009323:Natural Language Processing; D012196:Review Literature as Topic; D039061:Systematized Nomenclature of Medicine