title: Determining correspondences between high-frequency MedDRA concepts and SNOMED: a case study.
authors.affiliation: Geisinger Health Systems, Danville, PA, USA. Prakash.Nadkarni@yale.edu
authors.forename: Prakash M
authors.initials: PM
authors.lastname: Nadkarni
authors.forename: Jonathan D
authors.initials: JD
authors.lastname: Darer
mesh_terms: D016907:Adverse Drug Reaction Reporting Systems / Q000706:statistics & numerical data*; D003625:Data Collection / Q000639:trends*; D006801:Humans; D019982:Organizational Case Studies; D039061:Systematized Nomenclature of Medicine; D017432:Unified Medical Language System; D014481:United States; D014486:United States Food and Drug Administration