AbstractA study of the use of common qualifiers in SNOMED CT definitions and the resulting classification was undertaken using combined lexical and semantic techniques. The accuracy of SNOMED authors in formulating definitions for pre-coordinated concepts was taken as a proxy for the expected accuracy of users formulating post-coordinated expressions. The study focused on “acute” and “chronic” as used within a module based on the UMLS CORE Problem List and using the pattern of SNOMED CT’s definition Acute disease and Chronic disease. Scripts were used to identify potential candidate concepts whose names suggested that they should be classified as acute or chronic findings. The potential candidates were filtered by local clinical experts to ...
SNOMED CT provides about 300,000 codes with fine-grained concept definitions to support interoperabi...
Health professionals are faced with challenges when they have to exploit the semantics of concepts p...
Quality assurance in large terminologies is a difficult issue. We present two algorithms that can he...
AbstractA study of the use of common qualifiers in SNOMED CT definitions and the resulting classific...
AbstractObjectiveTo quantify the presence of and evaluate an approach for detection of inconsistenci...
AbstractLarge-scale mapping efforts have been done in attempts to migrate systems that use proprieta...
AbstractObjectiveA continual problem confronting the implementation of standardized vocabularies suc...
Topic: A preliminary study on the reproducibility of results when mapping terms from an existing ter...
Abstract Background SNOMED CT is a standardized and comprehensive clinical terminology that is used ...
SNODENT is a dental diagnostic vocabulary incompletely integrated in SNOMED-CT. Nevertheless, SNODEN...
We present preliminary results for the application of a procedure that detects and corrects errors i...
AbstractCompositional (post-coordinated) terminologies are one potential solution to the problem of ...
Objective A continual problem confronting the implementation of standardized vocabularies such as SN...
Formalisms based on one or other flavor of Description Logic (DL) are sometimes put forward as helpi...
SNOMED CT provides about 300,000 codes with fine-grained concept definitions to support interoperabi...
SNOMED CT provides about 300,000 codes with fine-grained concept definitions to support interoperabi...
Health professionals are faced with challenges when they have to exploit the semantics of concepts p...
Quality assurance in large terminologies is a difficult issue. We present two algorithms that can he...
AbstractA study of the use of common qualifiers in SNOMED CT definitions and the resulting classific...
AbstractObjectiveTo quantify the presence of and evaluate an approach for detection of inconsistenci...
AbstractLarge-scale mapping efforts have been done in attempts to migrate systems that use proprieta...
AbstractObjectiveA continual problem confronting the implementation of standardized vocabularies suc...
Topic: A preliminary study on the reproducibility of results when mapping terms from an existing ter...
Abstract Background SNOMED CT is a standardized and comprehensive clinical terminology that is used ...
SNODENT is a dental diagnostic vocabulary incompletely integrated in SNOMED-CT. Nevertheless, SNODEN...
We present preliminary results for the application of a procedure that detects and corrects errors i...
AbstractCompositional (post-coordinated) terminologies are one potential solution to the problem of ...
Objective A continual problem confronting the implementation of standardized vocabularies such as SN...
Formalisms based on one or other flavor of Description Logic (DL) are sometimes put forward as helpi...
SNOMED CT provides about 300,000 codes with fine-grained concept definitions to support interoperabi...
SNOMED CT provides about 300,000 codes with fine-grained concept definitions to support interoperabi...
Health professionals are faced with challenges when they have to exploit the semantics of concepts p...
Quality assurance in large terminologies is a difficult issue. We present two algorithms that can he...