Formalizing `Living Guidelines' Using LASSIE: A Multi-step Information Extraction Method
AIME '07 Proceedings of the 11th conference on 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
Improving medical protocols by formal methods
Artificial Intelligence in Medicine
Formalizing `Living Guidelines' Using LASSIE: A Multi-step Information Extraction Method
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Updating a protocol-based decision-support system's knowledge base: a breast cancer case study
KR4HC'10 Proceedings of the ECAI 2010 conference on Knowledge representation for health-care
KR4HC'09 Proceedings of the 2009 AIME international conference on Knowledge Representation for Health-Care: data, Processes and Guidelines
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Translating clinical guidelines into formal models is beneficial in many ways, but expensive. The progress in medical knowledge requires clinical guidelines to be updated at relatively short intervals, leading to the term living guideline. This causes potentially expensive, frequent updates of the corresponding formal models.When performing these updates, there are two goals: The modelling effort must be minimised and the links between the original document and the formal model must be maintained. In this paper, we describe our solution, using tools and techniques developed during the Protocure II project.