A FCA-based analysis of sequential care trajectories

Elias Egho; Nicolas Jay; Chedy Raïssi; Amedeo Napoli

hal-00641649, version 1

A FCA-based analysis of sequential care trajectories

Elias Egho () ¹, Nicolas Jay ()^a^, 1, Chedy Raïssi^b^, 1, Amedeo Napoli ()^b^, 1

The Eighth International Conference on Concept Lattices and their Applications - CLA 2011 (2011)

Résumé : This paper presents a research work in the domains of sequential pattern mining and formal concept analysis. Using a combined method, we show how concept lattices and interestingness measures such as stability can improve the task of discovering knowledge in symbolic sequential data. We give example of a real medical application to illustrate how this approach can be useful to discover patterns of trajectories of care in a french medico-economical database.

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

hal-00641649, version 1
http://hal.inria.fr/hal-00641649
oai:hal.inria.fr:hal-00641649
Contributeur : Elias Egho <>
Soumis le : Mercredi 16 Novembre 2011, 14:33:53
Dernière modification le : Mercredi 23 Novembre 2011, 11:12:42

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