A FCA-based analysis of sequential care trajectories

Elias Egho 1 Nicolas Jay 1 Chedy Raïssi 1 Amedeo Napoli 1
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : 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.
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Elias Egho, Nicolas Jay, Chedy Raïssi, Amedeo Napoli. A FCA-based analysis of sequential care trajectories. The Eighth International Conference on Concept Lattices and their Applications - CLA 2011, INRIA Nancy Grand Est - LORIA, Oct 2011, Nancy, France. ⟨hal-00641649⟩

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