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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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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