From SNOMED CT to Uberon: Transferability of evaluation methodology between similarly structured ontologies

SNOMED CT and formal ontologies

The analysis of the structure of SNOMED CT revealed several ontological and knowledge-engineering errors. The authors propose a methodology based on the formal top-level ontology DOLCE to correct these errors.

Snomed Ct ®

Generating Patient Problem Lists from the ShARe Corpus using SNOMED CT/SNOMED CT CORE Problem List

An up-to-date problem list is useful for assessing a patient’s current clinical status. Natural language processing can help maintain an accurate problem list. For instance, a patient problem list from a clinical document can be derived from individual problem mentions within the clinical document once these mentions are mapped to a standard vocabulary. In order to develop and evaluate accurate...

Linguistic Mapping of Terminologies to SNOMED CT

In this study we develop some linguistic bases for mapping between terminologies and demonstrate their application on mapping ICPC-2 PLUS to SNOMED CT (SCT). The Unified Medical Language System (UMLS) metathesaurus mapping, which utilises the links between ICPC-2 PLUS and SCT terms in the UMLS library mapped 46.5% of ICPC-2 PLUS terms to SCT. Lexical mapping explored the lexical similarities be...

An example of a multi-professional process-oriented structured documentation bound to SNOMED CT.

Structured code-based documentation, i.e. templates which restrain the user with predetermined terms/phrases bound to terminologies, offers opportunities for advanced types of retrieval and guides the user in multiple ways; to act in accordance with evidence, for decision support and to achieve adequate documentation for the condition in question. This type of documentation is especially approp...