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Using Formal Concept Analysis for Mining and Interpreting Patient Flows within a Healthcare Network

Identifieur interne : 004283 ( Main/Exploration ); précédent : 004282; suivant : 004284

Using Formal Concept Analysis for Mining and Interpreting Patient Flows within a Healthcare Network

Auteurs : Nicolas Jay [France] ; François Kohler [France] ; Amedeo Napoli [France]

Source :

RBID : ISTEX:E2F2E6BC83CA79FEEA55C0DFD94FB64FA910A453

English descriptors

Abstract

Abstract: This paper presents an original experiment based on frequent itemset search and lattice based classification. This work focuses on the ability of iceberg-lattices to discover and represent flows of patient within a healthcare network. We give examples of analysis of real medical data showing how Formal Concept Analysis techniques can be helpful in the interpretation step of the knowledge discovery in databases process. This combined approach has been successfully used to assist public health managers in designing healthcare networks and planning medical resources.

Url:
DOI: 10.1007/978-3-540-78921-5_19


Affiliations:


Links toward previous steps (curation, corpus...)


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