Processing medical reports to automatically populate ontologies

Medical reports are, quite often, written and stored in computer systems in a non-structured free text form. As a consequence, the information contained in these reports is not easily available and it is not possible to take it into account by medical decision support systems. We propose a methodolo...

Full description

Saved in:

Bibliographic Details
Published in:	Studies in health technology and informatics Vol. 183; p. 201
Main Authors:	Borrego, Luís, Quaresma, Paulo
Format:	Journal Article
Language:	English
Published:	Netherlands 2013
Subjects:	Documentation - methods Electronic Health Records Information Storage and Retrieval - methods Medical Record Linkage - methods Natural Language Processing Portugal Vocabulary, Controlled Portugal
Online Access:	Get more information
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	Medical reports are, quite often, written and stored in computer systems in a non-structured free text form. As a consequence, the information contained in these reports is not easily available and it is not possible to take it into account by medical decision support systems. We propose a methodology to automatically process and analyze medical reports, identifying concepts and their instances, and populating a new ontology. This methodology is based in natural language processing techniques using linguistic and statistical information. The proposed system was applied successfully to a set of medical reports from the Veterinary Hospital of the University of Évora.
ISSN:	0926-9630
DOI:	10.3233/978-1-61499-203-5-201