Mining non-lattice subgraphs for detecting missing hierarchical relations and concepts in SNOMED CT
نویسندگان
چکیده
منابع مشابه
Mining non-lattice subgraphs for detecting missing hierarchical relations and concepts in SNOMED CT
Objective Quality assurance of large ontological systems such as SNOMED CT is an indispensable part of the terminology management lifecycle. We introduce a hybrid structural-lexical method for scalable and systematic discovery of missing hierarchical relations and concepts in SNOMED CT. Material and Methods All non-lattice subgraphs (the structural part) in SNOMED CT are exhaustively extracte...
متن کاملAuditing SNOMED CT hierarchical relations based on lexical features of concepts in non-lattice subgraphs
OBJECTIVE We introduce a structural-lexical approach for auditing SNOMED CT using a combination of non-lattice subgraphs of the underlying hierarchical relations and enriched lexical attributes of fully specified concept names. Our goal is to develop a scalable and effective approach that automatically identifies missing hierarchical IS-A relations. METHODS Our approach involves 3 stages. In ...
متن کاملTitle: Detecting Misaligned and Missing Concepts in SNOMED CT using Structural and Lexical Patterns
Objective: Quality assurance of large ontological systems such as SNOMED CT is an indispensable part of the terminology management lifecycle. We introduce a hybrid structural-lexical method for scalable and systematic discovery of novel anomalies in SNOMED CT. The structural component is based on shared isa relations to other concepts. The lexical component leverages shared words in description...
متن کاملInheritance of SNOMED CT Relations between Concepts by two Health Terminologies (SNOMED International and ICD-10)
The situation of medical coding and medical economics is quite specific in France. Besides ICD10, two specific terminologies are used: the International Nomenclature of Human and veterinary Medicine (SNOMED International) developed by the College of American Pathologists and CCAM. This work aims at creating and optimizing inter and intra terminology relations between ICD-10 and SNOMED Int. As 9...
متن کاملIdentifying Potentially Missing Hierarchical Relations in SNOMED CT based on Lexical Features - Impact of Synonyms and Lexico-syntactic Constraints
Introduction The quality assurance of large bio-ontologies is extremely critical for their effective and continued use and is an active area of research1. For example, recent investigations highlighted issues in the hierarchical structure of SNOMED CT and its detrimental effects on biomedical applications2. Previous work by one of the authors3 established a method to identify potentially missin...
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ژورنال
عنوان ژورنال: Journal of the American Medical Informatics Association
سال: 2017
ISSN: 1067-5027,1527-974X
DOI: 10.1093/jamia/ocw175