Talks and Poster Presentations (with Proceedings-Entry):
S. Gindl, K. Kaiser, S. Miksch:
"Syntactical Negation Detection in Clinical Practice Guidelines";
Talk: Proceedings of the XXIst International Congress of the European Federation for Medical Informatics (MIE 2008),
- 2008-05-28; in: "eHealth Beyond the Horizon - Get IT There",
S. Andersen, G. Klein, S. Schulz, J. Aarts, M. Mazzoleni (ed.);
Studies in Health Technology and Informatics, Volume 136
In clinical practice guidelines (CPGs) the medical information is stored in a narrative way. A large part of this information occurs in a negated form. The detection of negation in CPGs is an important task since it helps medical personnel to identify not occurring symptoms and diseases as well as treatment actions that should not be accomplished. We developed algorithms capable of Negation Detection in this kind of medical documents. According to our results, we are convinced that the involvement of syntactical methods can improve Negation Detection, not only in medical writings but also in arbitrary narrative texts.
Negation detection, clinical practice guidelines, natural language processing
Electronic version of the publication:
Project Head Silvia Miksch:
Informationsextraktion aus evidenzbasierten Leitlinien
Created from the Publication Database of the Vienna University of Technology.