ATTENTION: This is a web archive! The IMS Group was split up in 2018 and does not exist anymore. Recent work of former members can be found at the VR/AR Group and the Computer Vision Group.

Interactive Media Systems, TU Wien

Identifying Condition-Action Sentences Using a Heuristic-Based Information Extraction Method

By Reinhardt Wenzina and Katharina Kaiser


Translating clinical practice guidelines into a computer-interpretable format is a challenging and laborious task. In this project we focus on supporting the early steps of the modeling process by automatically identifying conditional activities in guideline documents in order to model them automatically in further consequence. Therefore, we developed a rule-based, heuristic method that combines domain-independent information extraction rules and semantic pattern rules. The classification also uses a weighting coefficient to verify the relevance of the sentence in the context of other information aspects, such as effects, intentions, etc. Our evaluation results show that even with a small set of training data, we achieved a recall of 75 % and a precision of 88 %. This outcome shows that this method supports the modeling task and eases the translation of CPGs into a semi-formal model.


R. Wenzina, K. Kaiser: "Identifying Condition-Action Sentences Using a Heuristic-Based Information Extraction Method"; in: "Process Support and Knowledge Representation in Health Care", D. Riano, R. Lenz, S. Miksch, M. Peleg, M. Reichert, A. ten Teije (ed.); Springer Verlag, LNAI 8268, 2013, ISBN: 978-3-319-03915-2, 26 - 38.


Click into the text area and press Ctrl+A/Ctrl+C or ⌘+A/⌘+C to copy the BibTeX into your clipboard… or download the BibTeX.