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Cancer patient flows discovery in DRG databases

Nicolas Jay 1 Amedeo Napoli 1 François Kohler 1
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In France, cancer care is evolving to the design of regional networks, so as to coordinate expertise, services and resources allocation. Existing information systems along with data-mining tools can provide better knowledge on the distribution of patient flows. We used one year data of the French Diagnosis Related Groups (DRGs) based system to perform our analysis. Formal Concept Analysis has been used to build Iceberg Lattices of cancer patient flows in the French region of Lorraine. This unsupervised conceptual clustering method allowed us to describe patients flows with an easily understandable visual representation.
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Submitted on : Wednesday, October 25, 2006 - 4:19:14 PM
Last modification on : Wednesday, February 2, 2022 - 3:51:27 PM
Long-term archiving on: : Tuesday, April 6, 2010 - 6:13:28 PM


  • HAL Id : inria-00109808, version 1



Nicolas Jay, Amedeo Napoli, François Kohler. Cancer patient flows discovery in DRG databases. MIE 2006, Aug 2006, Maastricht/Pays-bas. ⟨inria-00109808⟩



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