Automated Activity Recognition in Clinical Documents

C. Thorne, M. Montali, D. Calvanese, E. Cardillo, C. Eccher

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

Abstract

We describe a first experiment on the identification and extraction of computer-interpretable guideline (CIG) components (activities, actors and consumed artifacts) from clinical documents, based on clinical entity recognition techniques. We rely on MetaMap and the UMLS Metathesaurus to provide lexical information, and study the impact of clinical document syntax and semantics on activity recognition.

Original languageEnglish
Title of host publication6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference
EditorsRuslan Mitkov, Jong C. Park
PublisherAsian Federation of Natural Language Processing
Pages1129-1133
Number of pages5
ISBN (Electronic)9784990734800
StatePublished - 2013
Externally publishedYes
Event6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Nagoya, Japan
Duration: Oct 14 2013 → …

Publication series

Name6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference

Conference

Conference6th International Joint Conference on Natural Language Processing, IJCNLP 2013
Country/TerritoryJapan
CityNagoya
Period10/14/13 → …

Keywords

  • Clinical entity recognition
  • Computer interpretable guideline
  • UMLS Metathesaurus

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