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Automated extraction of neurosurgical procedure expressions from full text reports: The Multi-TALE experience

  • Office Line Engineering NV
  • Universite de Namur
  • Ghent University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

The purpose of the Multi-TALE syntactic-semantic tagger is to identify surgical procedure expressions in full text reports, and to assign semantic tags to its composing elements according to the CEN/TC251/PT002S prestandard. Ten English reports - 5 from the original training sample and 5 from a testing sample - have been used for validation. In total 2139 syntactic units (to be mapped into 6 categories) and 857 semantic-contextual entities (to be mapped into 8 categories) were to be retrieved. Information recall (I-R) and information precision (I-P) were measured for both samples. I-R and I-P for the syntactic units were respectively 93.3% and 94.4% for the training sample, and 95.7% versus 95.7% for the testing sample. I-R and I-P for the semantic tags were respectively 91.3% and 92.0% versus 89.3% and 94.8%.

Original languageEnglish
Title of host publicationMedical Informatics Europe 1996
Subtitle of host publicationHuman Facets in Information Technologies, MIE 1996
PublisherIOS Press
Pages154-158
Number of pages5
ISBN (Print)9051992785, 9789051992786
DOIs
StatePublished - 1996
Event13th International Congress on Medical Informatics Europe, MIE 1996 - Copenhagen, Denmark
Duration: Aug 19 1996Aug 22 1996

Publication series

NameStudies in Health Technology and Informatics
Volume34
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference13th International Congress on Medical Informatics Europe, MIE 1996
Country/TerritoryDenmark
CityCopenhagen
Period08/19/9608/22/96

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