A FCA-based analysis of sequential care trajectories
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.
Domaines
Autre [cs.OH]| Origine | Fichiers produits par l'(les) auteur(s) |
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