Paper Info
Title
Cancer patient flows discovery in DRG databases.
Abstract
In France, cancer care is evolving to the design of regional networks, so as to coordinate expertise, services and resources allocation. Existing information systems along with data-mining tools can provide better knowledge on the distribution of patient flows. We used one year data of the French Diagnosis Related Groups (DRGs) based system to perform our analysis. Formal Concept Analysis has been used to build Iceberg Lattices of cancer patient flows in the French region of Lorraine. This unsupervised conceptual clustering method allowed us to describe patients flows with an easily understandable visual representation.
Year
DOI
Venue
2006
10.3233/978-1-58603-647-8-725
Studies in Health Technology and Informatics
Keywords
Field
DocType
Patient Flows,Data-Mining,Cancer,Information Systems
Information system,Data science,Data mining,Computer science,Knowledge management,Conceptual clustering,Formal concept analysis
Conference
Volume
ISSN
Citations 
124
0926-9630
5
PageRank 
References 
Authors
0.87
3
3
Name
Order
Citations
PageRank
Nicolas Jay111813.26
Amedeo Napoli21180135.52
François Kohler3496.56