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Apports d’une méthode de fouille de données pour la détection des cancers du sein incidents dans les données du programme de médicalisation des systèmes d’information

  • Christophe Goetz
  • Aurélien Zang
  • le groupe ONC-EPI
  • Nicolas JayEmail author
Part of the Informatique et Santé book series (INFORMATIQUE, volume 1)

Abstract

The objective of this work was to assess the interest of a data mining approach to detect incident breast cancer cases in medico administrative data. Data from the French casemix system (PMSI) were linked with the Isère cancer registry, which was the gold standard to define incident breast cancer. Formal Concept Analysis (FCA) was used to compute combinations of attribute values in the PMSI that could further define algorithm of detection of incident breast cancer. FCA allowed to automatically evaluate any possible combination of attribute values in terms of sensibility and Positive Predictive Value. This method can help experts in quality assessment of medico-economical databases as epidemiological tools.

Keywords

PMSI Breast cancer Incidence Data mining Formal concept analysis 

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Copyright information

© Springer-Verlag France 2011

Authors and Affiliations

  • Christophe Goetz
    • 1
  • Aurélien Zang
    • 1
  • le groupe ONC-EPI
    • 2
  • Nicolas Jay
    • 1
    • 3
    Email author
  1. 1.Observatoire des cancers en région Rhône-AlpesLyonFrance
  2. 2.Laboratoire SPI-EAOFaculté de médecine de NancyVandœuvre-lès-NancyFrance
  3. 3.Campus scientifiqueOrpailleur, LORIAVandœuvre-lès-Nancy CedexFrance

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