Cancer patient flows discovery in DRG databases - CNRS - Centre national de la recherche scientifique Accéder directement au contenu
Communication Dans Un Congrès Année : 2006

Cancer patient flows discovery in DRG databases

Nicolas Jay
Amedeo Napoli
François Kohler
  • Fonction : Auteur
  • PersonId : 836255

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.
Fichier principal
Vignette du fichier
jay-mie2006-final.pdf (141.52 Ko) Télécharger le fichier
Loading...

Dates et versions

inria-00109808 , version 1 (25-10-2006)

Identifiants

  • HAL Id : inria-00109808 , version 1

Citer

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

Partager

Gmail Facebook X LinkedIn More