A tribal abstraction network for SNOMED CT target hierarchies without attribute relationships

• Published in: Journal of the American Medical Informatics Association : JAMIA Vol. 22; no. 3; pp. 628 - 639
• Main Authors: Ochs, Christopher, Geller, James, Perl, Yehoshua, Chen, Yan, Agrawal, Ankur, Case, James T, Hripcsak, George
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 01.05.2015
• Subjects: Classification; Research and Applications; Subject Headings; Systematized Nomenclature of Medicine; Terminology as Topic; abstraction network; SNOMED CT; terminology summarization; terminology without lateral relationships; terminology quality assurance; hierarchical abstraction network

Objective Large and complex terminologies, such as Systematized Nomenclature of Medicine–Clinical Terms (SNOMED CT), are prone to errors and inconsistencies. Abstraction networks are compact summarizations of the content and structure of a terminology. Abstraction networks have been shown to support...