Semantic web representation of LOINC: an ontological perspective.

Arunkumar Srinivasan, Narendra Kunapareddy, Parsa Mirhaji, S. Ward Casscells

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

The Logical Observation Identifiers Names and Codes terminology (LOINC) has been proposed as a nomenclature for clinical laboratory tests. We present a formal representation of LOINC using a Semantic Web-based ontology that defines LOINC concepts in terms of the six main LOINC axes and their relationships with UMLS Semantic Types and the UMLS Metathesarus. This representation may enable automated information integration and decision support in public health surveillance.

Original languageEnglish (US)
Pages (from-to)1107
Number of pages1
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2006
Externally publishedYes

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Logical Observation Identifiers Names and Codes
Semantics
Terminology
Unified Medical Language System
Public Health Surveillance

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Semantic web representation of LOINC : an ontological perspective. / Srinivasan, Arunkumar; Kunapareddy, Narendra; Mirhaji, Parsa; Casscells, S. Ward.

In: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 2006, p. 1107.

Research output: Contribution to journalArticle

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