Cancer patient flows discovery in DRG databases

Nicolas Jay; Amedeo Napoli; François Kohler

inria-00109808, version 1

Cancer patient flows discovery in DRG databases

Nicolas Jay ()^a^, 1, Amedeo Napoli () ¹, François Kohler ()^a^, 1

MIE 2006 (2006)

Résumé : 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.

a – Université Henri Poincaré - Nancy I
1 : ORPAILLEUR (INRIA Lorraine - LORIA)
INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)

inria-00109808, version 1
http://hal.inria.fr/inria-00109808
oai:hal.inria.fr:inria-00109808
Contributeur : Nicolas Jay <>
Soumis le : Mercredi 25 Octobre 2006, 16:19:14
Dernière modification le : Mercredi 25 Octobre 2006, 21:26:23

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