The evolution of Protégé: an environment for knowledge-based systems development
International Journal of Human-Computer Studies
GLIF3: a representation format for sharable computer-interpretable clinical practice guidelines
Journal of Biomedical Informatics
GATE: an architecture for development of robust HLT applications
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
How can information extraction ease formalizing treatment processes in clinical practice guidelines?
Artificial Intelligence in Medicine
Extraction and use of linguistic patterns for modelling medical guidelines
Artificial Intelligence in Medicine
Bridging the Gap between Informal and Formal Guideline Representations
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Design patterns for clinical guidelines
Artificial Intelligence in Medicine
Improving clinical guideline implementation through prototypical design patterns
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
From natural language descriptions in clinical guidelines to relationships in an ontology
KR4HC'09 Proceedings of the 2009 AIME international conference on Knowledge Representation for Health-Care: data, Processes and Guidelines
Partitioning the UMLS semantic network
IEEE Transactions on Information Technology in Biomedicine
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Clinical practice guidelines are important instruments to support clinical care. In this work we analysed how activities are formulated in these documents and we tried to represent the activities using patterns based on semantic relations. For this we used the Unified Medical Language System (UMLS) and in particular its Semantic Network. Out of it we generated a collection of semantic patterns that can be used to automatically identify activities. In a study we showed that these semantic patterns can cover a large part of the control flow. Using such patterns cannot only support the modelling of computer-interpretable clinical practice guidelines, but can also improve the general comprehension which treatment procedures have to be accomplished. This can also lead to improved compliance of clinical practice guidelines.