title: Analysis of hospitalised patient flows using data-mining.
abstract: Face to the development of hospital information system in the "Hôpital Européen George Pompidou" (HEGP), computerized patients records made medical data easier to analyse than before. We use data-mining technology to analyse intra-hospital patients' paths with one year of PMSI data (a French medical information system similar to Diagnosis Related Group).
  
  
  METHODS
  1. "sequential patterns mining" was used to analyse the most frequent patients' paths, 2. an integrated framework of "association rules mining" and "classification rule mining" was used to build prediction rules of patients' paths.
  
  
  RESULTS
  We construct a rule based prediction model, which gives the tendency of the patient's paths between the different medical units.
authors.affiliation: Santé Publique et Informatique Médicale (SPIM), University of Paris 6, France. thierry.dart@spim.jussieu.fr
authors.forename: Thierry
authors.initials: T
authors.lastname: Dart
authors.forename: Yongmei
authors.initials: Y
authors.lastname: Cui
authors.forename: Gilles
authors.initials: G
authors.lastname: Chatellier
authors.forename: Patrice
authors.initials: P
authors.lastname: Degoulet
mesh_terms: D003195:Computer Communication Networks; D003266:Continuity of Patient Care; D005602:France; D006761:Hospitals / Q000706:statistics & numerical data*; D006801:Humans; D007902:Length of Stay / Q000706:statistics & numerical data*; D008492:Medical Informatics Computing; D016347:Medical Records Systems, Computerized; D016571:Neural Networks, Computer; D011336:Probability