inria-00109808, version 1

Cancer patient flows discovery in DRG databases

Nicolas Jay () ^a, 1, Amedeo Napoli () ¹, François Kohler () ^a, 1

MIE 2006 (2006)

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

Bibliographic reference

• Type of document: Peer-reviewed conferences/proceedings
• Domain:

  Life Sciences/Santé publique et épidémiologie

  Computer Science/Artificial Intelligence

• 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.
• ACM Classification:

  H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.3: Information Search and Retrieval/H.3.3.5: Search process

  J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES/J.3.2: Medical information systems

• Full text language: English
• Publication date: 2006-08-27
• Audience: not specified
• Conference title: MIE 2006
• Conference city: Maastricht/Pays-bas
• Conference date: 2006-08-27
• Keywords: Patient Flows – Data-Mining – Cancer – Information Systems

Attached file list to this document: 

• inria-00109808, version 1
• http://hal.inria.fr/inria-00109808
• oai:hal.inria.fr:inria-00109808
• From: Nicolas Jay <>
• Submitted on: Wednesday, 25 October 2006 16:19:14
• Updated on: Wednesday, 25 October 2006 21:26:23