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Ontology Based Clinical Query Extraction

by: Pinar Wennerberg, Manuel Möller, Paul Buitelaar, and Sonja Zillner

In: Proc. of AMIA Summit on Translational Bioinformatics (March 2009) .

Abstract

Knowledge about human anatomy, radiology and diseases that is essential for medical images can be acquired from medical ontology terms and relations. These can then be analyzed using domain corpora to observe statistically most relevant term-relation-term patterns. We argue that such patterns are the basis for more complex clinical search queries and describe our approach for deriving them. These patterns can then be used to support the knowledge elicitation process between the domain expert and the knowledge engineer by providing a common vocabulary for the communication.

BibTeX record

@inproceedings{Wennerberg2009,
  abstract = {Knowledge about human anatomy, radiology and diseases that is essential
	for medical images can be acquired from medical ontology terms and
	relations. These can then be analyzed using domain corpora to observe
	statistically most relevant term-relation-term patterns. We argue
	that such patterns are the basis for more complex clinical search
	queries and describe our approach for deriving them. These patterns
	can then be used to support the knowledge elicitation process between
	the domain expert and the knowledge engineer by providing a common
	vocabulary for the communication.},
  added-at = {2010-03-12T13:38:21.000+0100},
  author = {Wennerberg, Pinar and M\"oller, Manuel and Buitelaar, Paul and Zillner, Sonja},
  biburl = {http://www.bibsonomy.org/bibtex/21deb38567288e2a5847fcefb64151204/manuelm},
  booktitle = {Proc. of AMIA Summit on Translational Bioinformatics},
  interhash = {394b124802901230d599451ec772c845},
  intrahash = {1deb38567288e2a5847fcefb64151204},
  keywords = {medico},
  month = {March},
  timestamp = {2010-03-12T13:38:21.000+0100},
  title = {Ontology Based Clinical Query Extraction},
  year = 2009
}

Endnote record