Using Formal Concept Analysis for mining and interpreting patient flows within a healthcare network

Nicolas Jay 1, * François Kohler 2 Amedeo Napoli 1
* Auteur correspondant
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper presents an original experiment based on frequent itemset search and lattice based classification. This work focuses on the ability of iceberg-lattices to discover and represent flows of patient within a healthcare network. We give examples of analysis of real medical data showing how Formal Concept Analysis techniques can be helpful in the interpretation step of the knowledge discovery in databases process. This combined approach has been successfully used to assist public health managers in designing healthcare networks and planning medical resources.
Type de document :
Communication dans un congrès
Fourth International Conference on Concept Lattices and Their Applications - CLA 2006, Oct 2006, Hammamet, Tunisia. 2008, 〈10.1007/978-3-540-78921-5_19〉
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Soumis le : mercredi 25 octobre 2006 - 17:12:27
Dernière modification le : jeudi 11 janvier 2018 - 06:19:53
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Nicolas Jay, François Kohler, Amedeo Napoli. Using Formal Concept Analysis for mining and interpreting patient flows within a healthcare network. Fourth International Conference on Concept Lattices and Their Applications - CLA 2006, Oct 2006, Hammamet, Tunisia. 2008, 〈10.1007/978-3-540-78921-5_19〉. 〈inria-00109863〉

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