Semantic approach for text understanding of chief complaints data.

Parsa Mirhaji, Sean Byrne, Narendra Kunapareddy, S. Ward Casscells

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

We propose a semantic approach to processing free form text information such as chief complaints using formal knowledge representation and Description Logic reasoning. Our method extracts concepts and as much contextual information as is available in the text. Output is a computationally interpretable representation of this information using the Resource Definition Framework (RDF) and UMLS Metathesaurus.

Original languageEnglish (US)
Pages (from-to)1033
Number of pages1
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2006
Externally publishedYes

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Unified Medical Language System
Semantics

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Semantic approach for text understanding of chief complaints data. / Mirhaji, Parsa; Byrne, Sean; Kunapareddy, Narendra; Casscells, S. Ward.

In: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 2006, p. 1033.

Research output: Contribution to journalArticle

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