title: Semantic approach for text understanding of chief complaints data.
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.
authors.affiliation: Center for Biosecurity and Public Health Informatics Research, Houston, TX, USA.
authors.forename: Parsa
authors.initials: P
authors.lastname: Mirhaji
authors.forename: Sean
authors.initials: S
authors.lastname: Byrne
authors.forename: Narendra
authors.initials: N
authors.lastname: Kunapareddy
authors.forename: S Ward
authors.initials: SW
authors.lastname: Casscells
mesh_terms: D020407:Internet; D009323:Natural Language Processing; D012660:Semantics; D017432:Unified Medical Language System; D018875:Vocabulary, Controlled