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Semantic decision trees editing for decision support with KcatoS - Application in oncology

Thomas Meilender 1 Jean Lieber 1 Fabien Palomares 2 Nicolas Jay 1 
1 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : During the last two decades, the interest for computer-interpretable guidelines has kept growing to become a major issue in medical informatics. Clinical guidelines usually contain decisional knowledge that can be represented by decision trees. This paper presents KcatoS, a semantic decision tree editor, which provides a collaborative tool to simplify knowledge acquisition. Using a simple graphical language, KcatoS allows exporting decision trees to formalised knowledge, by proposing an original export algorithm to OWL. Easy to integrate in web applications, KcatoS is part of a larger work about collaborative editing of clinical guidelines. The overall objective is to provide tools to assist editing and storage of decisional knowledge in the field of oncology.
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Submitted on : Friday, September 28, 2012 - 6:22:44 PM
Last modification on : Thursday, August 4, 2022 - 5:18:43 PM
Long-term archiving on: : Saturday, December 29, 2012 - 8:15:07 AM


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  • HAL Id : hal-00736710, version 1


Thomas Meilender, Jean Lieber, Fabien Palomares, Nicolas Jay. Semantic decision trees editing for decision support with KcatoS - Application in oncology. SIMI 2012: Semantic Interoperability in Medical Informatics, May 2012, Heraklion, Greece. ⟨hal-00736710⟩



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