Semantic approach for text understanding of chief complaints data.

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

Semantic approach for text understanding of chief complaints data.

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

Research output: Contribution to journal › Article › peer-review

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 language	English (US)
Pages (from-to)	1033
Number of pages	1
Journal	AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
State	Published - 2006
Externally published	Yes

ASJC Scopus subject areas

General Medicine

Cite this

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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.",

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JO - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JF - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

ER -

Semantic approach for text understanding of chief complaints data.

Abstract

ASJC Scopus subject areas

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