Medizinische Universit├Ąt Graz - Research portal

Logo MUG Resarch Portal

Selected Publication:

SHR Neuro Cancer Cardio Lipid

Schulz, S; Hanser, S; Hahn, U; Rogers, J.
The semantics of procedures and diseases in SNOMED CT.
METHODS INFORM MED. 2006; 45(4): 354-358. [OPEN ACCESS]
Web of Science PubMed FullText

 

Authors Med Uni Graz:
Schulz Stefan
Altmetrics:

Dimensions Citations:

Plum Analytics:
Abstract:
Objectives. SNOMED (R) CT is emerging as a reference terminology for the entire health care process. It claims to be founded on logic-based modelling principles. In this article, we analyze a special encoding scheme for diseases and procedures in SNOMED (R) CT the so-called relationship groups (RGs), which had been devised to avoid ambiguities in definitions. Methods: We reformulate SNOMED (R) CT's relationship groups in the format of description logics in order to check whether RGs serve the needs they were designed for. Results: We show that a considerable proportion of relationship groups represent hidden mereological relations. We also report discrepancies encountered between the defined semantics of many SNOMED (R) CT terms and their intuitive meaning, as well as inconsistencies detected between the definition of various complex composed terms and the definition of their top-level parents. Conclusions. We formulate recommendations for improving SNOMED (R) CT by replacing most occurrences of relation groups by formally more adequate "part-of" relations.
Find related publications in this database (using NLM MeSH Indexing)
Anatomy - classification
Disease - classification
Humans -
Intuition -
Knowledge Bases -
Medical Informatics -
Medical Records Systems, Computerized - classification
Semantics -
Systematized Nomenclature of Medicine -
Systems Integration -
Vocabulary -

Find related publications in this database (Keywords)
SNOMED CT
knowledge representation
logic
© Meduni GrazImprint