Knowledge acquisition from prescriptive texts
IEA/AIE '90 Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2
Finite-State Language Processing
Finite-State Language Processing
Methods for the semantic analysis of document markup
Proceedings of the 2003 ACM symposium on Document engineering
Semantically-based text authoring and the concurrent documentation of experimental protocols
Proceedings of the 2003 ACM symposium on Document engineering
Techniques for authoring complex XML documents
Proceedings of the 2004 ACM symposium on Document engineering
Enabling massive scale document transformation for the semantic web: the universal parsing agent™
Proceedings of the 2005 ACM symposium on Document engineering
Managing syntactic variation in text retrieval
Proceedings of the 2005 ACM symposium on Document engineering
Combining linguistic and structural descriptors for mining biomedical literature
Proceedings of the 2006 ACM symposium on Document engineering
Emotional reading of medical texts using conversational agents
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Visualizing the Importance of Medical Recommendations with Conversational Agents
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Proceedings of the 9th ACM symposium on Document engineering
Analysing Clinical Guidelines' Contents with Deontic and Rhetorical Structures
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
Assessing the readability of clinical documents in a document engineering environment
Proceedings of the 10th ACM symposium on Document engineering
A section title authoring tool for clinical guidelines
Proceedings of the 2012 ACM symposium on Document engineering
A first approach to the automatic recognition of structural patterns in XML documents
Proceedings of the 2012 ACM symposium on Document engineering
Automatic generation of limited-depth hyper-documents from clinical guidelines
Proceedings of the 2013 ACM symposium on Document engineering
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In this paper, we present a document engineering environment for Clinical Guidelines (G-DEE), which are standardized medical documents developed to improve the quality of medical care. The computerization of Clinical Guidelines has attracted much interest in recent years, as it could support the knowledge-based process through which they are produced. Early work on guideline computerization has been based on document engineering techniques using mark-up languages to produce structured documents. We propose to extend the document-based approach by introducing some degree of automatic content processing, dedicated to the recognition of linguistic markers, signaling recommendations through the use of "deontic operators". Such operators are identified by shallow parsing using Finite-State Transition Networks, and are further used to automatically generate mark-up structuring the documents. We also show that several guidelines manipulation tasks can be formalized as XSL-based transformations of the original marked-up document. The automatic processing component, which underlies the marking-up process, has been evaluated using two complete clinical guidelines (corresponding to over 300 recommendations). As a result, precision of marker identification varied between 88 and 98% and recall between 81 and 99%.